Consideraciones Éticas y Académicas sobre el Uso de Inteligencia Artificial en Cursos de Metodología de la Investigación en Rehabilitación / Ethical and Academic Reflections on the Integration of Artificial Intelligence in Research Methodology Courses in Rehabilitation Science

En el cruce entre la revolución tecnológica y la educación en ciencias de la rehabilitación y del movimiento humano, la inteligencia artificial (IA) emerge como herramienta transformadora en los cursos de metodología de investigación. Este artículo destaca su potencial para optimizar la experiencia de aprendizaje y personalizar la instrucción, pero enfatiza la necesidad crucial de abordar desafíos éticos y pedagógicos. Propone orientaciones para equilibrar la innovación educativa y la responsabilidad académica, resaltando la importancia de la implementación consciente y planificada de la IA en los equipos de investigación en ciencias de la rehabilitación y del movimiento humano, garantizando así la integridad científica y ética en este campo en constante evolución.

In the intersection between technological advancements and education in rehabilitation science, artificial intelligence (AI) emerges as a transformative tool in research methodology. This article navigates the ethical and academic considerations tied to the incorporation of AI in rehabilitation and movement science courses. While acknowledging its potential to enhance learning experiences, it critically addresses the imperative to tackle ethical and pedagogical challenges. The paper offers guidance to strike a balance between educational innovation and academic responsibility. It emphasizes the need for a conscientious and planned implementation of AI, ensuring both scientific integrity and ethical adherence in this dynamically evolving field.

Case fatality rate among COVID-19 patients treated with acute kidney replacement therapy / Letalidade entre pacientes com injúria renal aguda por COVID-19 tratados com suporte renal artificial

Abstract Introduction: Acute kidney injury (AKI) is a frequent complication of severe COVID-19 and is associated with high case fatality rate (CFR). However, there is scarcity of data referring to the CFR of AKI patients that underwent kidney replacement therapy (KRT) in Brazil. The main objective of this study was to describe the CFR of critically ill COVID-19 patients treated with acute kidney replacement therapy (AKRT). Methods: Retrospective descriptive cohort study. We included all patients treated with AKRT at an intensive care unit in a single tertiary hospital over a 15-month period. We excluded patients under the age of 18 years, patients with chronic kidney disease on maintenance dialysis, and cases in which AKI preceded COVID-19 infection. Results: A total of 100 out of 1479 (6.7%) hospitalized COVID-19 patients were enrolled in this study. The median age was 74.5 years (IQR 64 - 82) and 59% were male. Hypertension (76%) and diabetes mellitus (56%) were common. At the first KRT prescription, 85% of the patients were on invasive mechanical ventilation and 71% were using vasoactive drugs. Continuous veno-venous hemodiafiltration (CVVHDF) was the preferred KRT modality (82%). CFR was 93% and 81 out of 93 deaths (87%) occurred within the first 10 days of KRT onset. Conclusion: AKRT in hospitalized COVID-19 patients resulted in a CFR of 93%. Patients treated with AKRT were typically older, critically ill, and most died within 10 days of diagnosis. Better strategies to address this issue are urgently needed.

Resumo Introdução: Injúria renal aguda (IRA) é uma complicação frequente da COVID-19 grave e está associada a alta taxa de letalidade (TL). Entretanto, há escassez de dados referentes à TL de pacientes com IRA submetidos a suporte renal artificial (SRA) no Brasil. O objetivo principal deste estudo foi descrever a TL de pacientes graves com IRA por COVID-19 tratados com SRA. Métodos: Estudo de coorte descritivo retrospectivo. Incluímos todos os pacientes tratados com SRA em unidade de terapia intensiva de um único hospital terciário por 15 meses. Excluímos pacientes menores de 18 anos, pacientes com doença renal crônica em diálise de manutenção e casos nos quais a IRA precedeu a infeção por COVID-19. Resultados: Incluímos neste estudo um total de 100 dos 1479 (6,7%) pacientes hospitalizados com COVID-19. A mediana de idade foi 74,5 anos (IIQ 64 - 82) e 59% eram homens. Hipertensão (76%) e diabetes mellitus (56%) foram comuns. Na primeira prescrição de SRA, 85% dos pacientes estavam em ventilação mecânica invasiva e 71% em uso de drogas vasoativas. A hemodiafiltração contínua foi a modalidade de SRA preferida (82%). A TL foi de 93% e 81 dos 93 óbitos (87%) ocorreram nos primeiros 10 dias do início da SRA. Conclusão: O SRA em pacientes hospi­talizados com IRA por COVID-19 resultou em TL de 93%. Os pacientes tratados com SRA eram geralmente idosos, gravemente enfermos e a maioria foi a óbito em até 10 dias após o diagnóstico. Estratégias melhores para abordar esse problema são urgentemente necessárias.

ChatGPT's learning and reasoning capacity in anesthesiology

Introduction: Over the past few months, ChatGPT has raised a lot of interest given its ability to perform complex tasks through natural language and conversation. However, its use in clinical decision-making is limited and its application in the field of anesthesiology is unknown. Objective: To assess ChatGPT's basic and clinical reasoning and its learning ability in a performance test on general and specific anesthesia topics. Methods: A three-phase assessment was conducted. Basic knowledge of anesthesia was assessed in the first phase, followed by a review of difficult airway management and, finally, measurement of decision-making ability in ten clinical cases. The second and the third phases were conducted before and after feeding ChatGPT with the 2022 guidelines of the American Society of Anesthesiologists on difficult airway management. Results: On average, ChatGPT succeded 65% of the time in the first phase and 48% of the time in the second phase. Agreement in clinical cases was 20%, with 90% relevance and 10% error rate. After learning, ChatGPT improved in the second phase, and was correct 59% of the time, with agreement in clinical cases also increasing to 40%. Conclusions: ChatGPT showed acceptable accuracy in the basic knowledge test, high relevance in the management of specific difficult airway clinical cases, and the ability to improve after learning.

Introducción: En los últimos meses, ChatGPT ha suscitado un gran interés debido a su capacidad para realizar tareas complejas a través del lenguaje natural y la conversación. Sin embargo, su uso en la toma de decisiones clínicas es limitado y su aplicación en el campo de anestesiología es desconocido. Objetivo: Evaluar el razonamiento básico, clínico y la capacidad de aprendizaje de ChatGPT en una prueba de rendimiento sobre temas generales y específicos de anestesiología. Métodos: Se llevó a cabo una evaluación dividida en tres fases. Se valoraron conocimientos básicos de anestesiología en la primera fase, seguida de una revisión del manejo de vía aérea difícil y, finalmente, se midió la toma de decisiones en diez casos clínicos. La segunda y tercera fases se realizaron antes y después de alimentar a ChatGPT con las guías de la Sociedad Americana de Anestesiólogos del manejo de la vía aérea difícil del 2022. Resultados: ChatGPT obtuvo una tasa de acierto promedio del 65 % en la primera fase y del 48 % en la segunda fase. En los casos clínicos, obtuvo una concordancia del 20 %, una relevancia del 90 % y una tasa de error del 10 %. Posterior al aprendizaje, ChatGPT mejoró su tasa de acierto al 59 % en la segunda fase y aumentó la concordancia al 40 % en los casos clínicos. Conclusiones: ChatGPT demostró una precisión aceptable en la prueba de conocimientos básicos, una alta relevancia en el manejo de los casos clínicos específicos de vía aérea difícil y la capacidad de mejoría secundaria a un aprendizaje.

Artificial intelligence, applications and challenges in simulation-based education

The rapid advancement of Artificial Intelligence (AI) has taken the world by "surprise" due to the lack of regulation over this technological innovation which, while promising application opportunities in different fields of knowledge, including education, simultaneously generates concern, rejection and even fear. In the field of Health Sciences Education, clinical simulation has transformed educational practice; however, its formal insertion is still heterogeneous, and we are now facing a new technological revolution where AI has the potential to transform the way we conceive its application.

El rápido avance de la inteligencia artificial (IA) ha tomado al mundo por "sorpresa" debido a la falta de regulación sobre esta innovación tecnológica, que si bien promete oportunidades de aplicación en diferentes campos del conocimiento, incluido el educativo, también genera preocupación e incluso miedo y rechazo. En el campo de la Educación en Ciencias de la Salud la Simulación Clínica ha transformado la práctica educativa; sin embargo, aún es heterogénea su inserción formal, y ahora nos enfrentamos a una nueva revolución tecnológica, en la que las IA tienen el potencial de transformar la manera en que concebimos su aplicación.

Una revisión sistemática del uso de la inteligencia artificial en la educación / A systematic review of the use of artificial intelligence in education

Introducción. El uso de la inteligencia artificial (IA) en la educación ha sido objeto de una creciente atención en los últimos años. La IA se ha utilizado para mejorar la personalización del aprendizaje, la retroalimentación y la evaluación de los estudiantes. Sin embargo, también hay desafíos y limitaciones asociados. El objetivo de este trabajo fue identificar las principales tendencias y áreas de aplicación de la inteligencia artificial en la educación, así como analizar los beneficios y limitaciones de su uso en este ámbito. Métodos. Se llevó a cabo una revisión sistemática que exploró el empleo de la inteligencia artificial en el ámbito educativo. Esta revisión siguió una metodología de investigación basada en la búsqueda de literatura, compuesta por cinco etapas. La investigación se realizó utilizando Scopus como fuente de consulta primaria y se empleó la herramienta VOSviewer para analizar los resultados obtenidos. Resultados. Se encontraron numerosos estudios que investigan el uso de la IA en la educación. Los resultados sugieren que la IA puede mejorar significativamente la personalización del aprendizaje, proporcionando recomendaciones de actividades y retroalimentación adaptadas a las necesidades individuales de cada estudiante. Conclusiones. A pesar de las ventajas del uso de la IA en la educación, también hay desafíos y limitaciones que deben abordarse, como la calidad de los datos utilizados por la IA, la necesidad de capacitación para educadores y estudiantes, y las preocupaciones sobre la privacidad y la seguridad de los datos de los estudiantes. Es importante seguir evaluando los efectos del uso de la IA en la educación para garantizar su uso efectivo y responsable.

Introduction. The use of artificial intelligence (AI) in education has been the subject of increasing attention in recent years. AI has been used to improve personalized learning, feedback, and student assessment. However, there are also challenges and limitations. The aim of this study was to identify the main trends and areas of application of artificial intelligence in education, as well as to analyze the benefits and limitations of its use in this field. Methods. A systematic review was carried out on the use of artificial intelligence in education, using a literature search research methodology with five stages, based on the Scopus query and the tool for analyzing results with VOSviewer. Results. Numerous studies investigating the use of AI in education were found. The results suggest that AI can significantly improve personalized learning by providing activity recommendations and feedback tailored to the individual needs of each student. Conclusions. Despite the advantages of using AI in education, there are also challenges and limitations that need to be addressed, such as the quality of data used by AI, the need for training for educators and students, and concerns about the privacy and security of student data. It is important to continue evaluating the effects of AI use in education to ensure its effective and responsible use.

Variability in indigenous Pakistani tomato lines and worldwide reference collection for Tomato Mosaic Virus (ToMV) and Tomato Yellow Leaf Curl Virus (TYLCV) infection

Abstract Local and exotic germplasm of tomato remains a major source for genetic improvement. Assessment of such lines for biotic stresses particularly viral diseases are the most important criteria for selection in Pakistan, where Tomato Yellow Leaf Curl Virus (TYLCV) and Tomato Mosaic Virus (ToMV) are the major diseases/viruses. A set of 40 accessions (including indigenous Pakistani lines and exotic germplasm from Europe, the United States, and Asia) were evaluated for their resistance/infection response to ToMV with artificial inoculation under greenhouse conditions. Infection response was quantified through disease scoring and DAS-ELISA test (for ToMV). A subset of 24 lines, was further screened for TYLCV using disease scoring and TAS-ELISA. The tested lines showed significant variability for resistance to ToMV. Only one accession (Acc-17878) was resistant to the ToMV whereas seven accessions i.e. Acc-17890, AVR-261, CLN-312, AVR-321, EUR-333, CLN-352, and CLN-362 expressed resistance to TYLCV. Correlation between phenotypic evaluation was confirmed by the ELISA results in both diseases, although both tools complemented to assess the viral infection status. In future, tomato breeding programs must consider breeding for ToMV and TYLCV resistance (using identified germplasm in our study) so as to deliver virus resistant tomato varieties.

RESUMO O germoplasma local e exótico do tomate continua sendo uma importante fonte de melhoramento genético. A avaliação de linhagens para estresses bióticos, particularmente as doenças virais, é o critério mais importantes para seleção no Paquistão, onde o vírus da folha amarela do tomate (TYLCV) e o vírus do mosaico do tomateiro (ToMV) são as principais doenças/vírus. Um conjunto de 40 acessos (incluindo linhagens indígenas do Paquistão e germoplasma exótico da Europa, dos Estados Unidos e da Ásia) foi avaliado quanto à resistência/resposta à infecção ao ToMV com inoculação artificial em casa de vegetação. A resposta à infecção foi quantificada por meio de pontuação da doença e de teste DAS-ELISA (para ToMV). Um subconjunto de 24 linhas foi posteriormente rastreado para TYLCV usando pontuação de doença e TAS-ELISA. As linhas testadas apresentaram variabilidade significativa para resistência ao ToMV. Apenas um acesso (Acc-17878) foi resistente ao ToMV, enquanto sete acessos (Acc-17890, AVR-261, CLN-312, AVR-321, EUR-333, CLN-352 e CLN-362) expressaram resistência ao TYLCV. A correlação entre a avaliação fenotípica foi confirmada pelos resultados do ELISA nas duas doenças, embora ambas as ferramentas tenham se complementado para avaliar o estado da infecção viral. No futuro, os programas de melhoramento de tomate devem considerar aperfeiçoamentos para resistência ao ToMV e TYLCV (usando germoplasma identificado em nosso estudo) de modo a fornecer variedades de tomate resistentes a vírus.

Variability in indigenous Pakistani tomato lines and worldwide reference collection for Tomato Mosaic Virus (ToMV) and Tomato Yellow Leaf Curl Virus (TYLCV) infection / Variabilidade em linhagens indígenas de tomate do Paquistão e coleção de referência global para infecção por vírus do mosaico do tomateiro (ToMV) e vírus da folha amarela do tomate (TYLCV)

Local and exotic germplasm of tomato remains a major source for genetic improvement. Assessment of such lines for biotic stresses particularly viral diseases are the most important criteria for selection in Pakistan, where Tomato Yellow Leaf Curl Virus (TYLCV) and Tomato Mosaic Virus (ToMV) are the major diseases/viruses. A set of 40 accessions (including indigenous Pakistani lines and exotic germplasm from Europe, the United States, and Asia) were evaluated for their resistance/infection response to ToMV with artificial inoculation under greenhouse conditions. Infection response was quantified through disease scoring and DAS-ELISA test (for ToMV). A subset of 24 lines, was further screened for TYLCV using disease scoring and TAS-ELISA. The tested lines showed significant variability for resistance to ToMV. Only one accession (Acc-17878) was resistant to the ToMV whereas seven accessions i.e. Acc-17890, AVR-261, CLN-312, AVR-321, EUR-333, CLN-352, and CLN-362 expressed resistance to TYLCV. Correlation between phenotypic evaluation was confirmed by the ELISA results in both diseases, although both tools complemented to assess the viral infection status. In future, tomato breeding programs must consider breeding for ToMV and TYLCV resistance (using identified germplasm in our study) so as to deliver virus resistant tomato varieties.

O germoplasma local e exótico do tomate continua sendo uma importante fonte de melhoramento genético. A avaliação de linhagens para estresses bióticos, particularmente as doenças virais, é o critério mais importantes para seleção no Paquistão, onde o vírus da folha amarela do tomate (TYLCV) e o vírus do mosaico do tomateiro (ToMV) são as principais doenças/vírus. Um conjunto de 40 acessos (incluindo linhagens indígenas do Paquistão e germoplasma exótico da Europa, dos Estados Unidos e da Ásia) foi avaliado quanto à resistência/resposta à infecção ao ToMV com inoculação artificial em casa de vegetação. A resposta à infecção foi quantificada por meio de pontuação da doença e de teste DAS-ELISA (para ToMV). Um subconjunto de 24 linhas foi posteriormente rastreado para TYLCV usando pontuação de doença e TAS-ELISA. As linhas testadas apresentaram variabilidade significativa para resistência ao ToMV. Apenas um acesso (Acc-17878) foi resistente ao ToMV, enquanto sete acessos (Acc-17890, AVR-261, CLN-312, AVR-321, EUR-333, CLN-352 e CLN-362) expressaram resistência ao TYLCV. A correlação entre a avaliação fenotípica foi confirmada pelos resultados do ELISA nas duas doenças, embora ambas as ferramentas tenham se complementado para avaliar o estado da infecção viral. No futuro, os programas de melhoramento de tomate devem considerar aperfeiçoamentos para resistência ao ToMV e TYLCV (usando germoplasma identificado em nosso estudo) de modo a fornecer variedades de tomate resistentes a vírus.

Noninvasive mechanical ventilation assistance in amyotrophic lateral sclerosis: a systematic review

ABSTRACT BACKGROUND: Respiratory failure is the most common cause of death in patients with amyotrophic lateral sclerosis (ALS), and morbidity is related to poor quality of life (QOL). Non-invasive ventilation (NIV) may be associated with prolonged survival and QOL in patients with ALS. OBJECTIVES: To assess whether NIV is effective and safe for patients with ALS in terms of survival and QOL, alerting the health system. DESIGN AND SETTING: Systematic review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses reporting standards using population, intervention, comparison, and outcome strategies. METHODS: The Cochrane Library, CENTRAL, MEDLINE, LILACS, EMBASE, and CRD databases were searched based on the eligibility criteria for all types of studies on NIV use in patients with ALS published up to January 2022. Data were extracted from the included studies, and the findings were presented using a narrative synthesis. RESULTS: Of the 120 papers identified, only 14 were related to systematic reviews. After thorough reading, only one meta-analysis was considered eligible. In the second stage, 248 studies were included; however, only one systematic review was included. The results demonstrated that NIV provided relief from the symptoms of chronic hypoventilation, increased survival, and improved QOL compared to standard care. These results varied according to clinical phenotype. CONCLUSIONS: NIV in patients with ALS improves the outcome and can delay the indication for tracheostomy, reducing expenditure on hospitalization and occupancy of intensive care unit beds. SYSTEMATIC REVIEW REGISTRATION: PROSPERO database: CRD42021279910 — https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=279910.

Ai based motion analysis software for sport and physical therapy assessment / Software de análisis de movimiento basado en ia para la evaluación del deporte y la fisioterapia / Software de análise de movimento baseado em ia para avaliação de esporte e fisioterapia

ABSTRACT Introduction: As the World Health Organization declared the novel coronavirus as a pandemic in March 2020, physical therapy is more difficult to execute, and social distancing is mandatory in the healthcare sector. Objective: In physical therapy, an online video analysis software that provides real-time graphic and numerical information about the patient's movement executions without direct personal contact would mean a significant improvement in eHealth treatment. Methods: We have developed a software layer on top of OpenPose human body position estimation software that can extract the time series of angles of arbitrary body parts using the output coordinates from OpenPose processing the data recorded by two cameras simultaneously. To validate the procedure of determining the joint angles using the Openpose software we have used the Kinovea software. Results: The comparison of the determined maximal knee angle in our and the Kinovea software, which is widely used in biomechanical measurements, was not significantly different (2.03±1.06°, p<0.05) Conclusion: This indicates, that the developed software can calculate the appropriate joint angles with the accuracy that physiotherapy treatments require. As, to our knowledge no such software yet exists, with the help of this software development, therapists could control and correct the exercises in real-time, and also from a distance, and physical therapy effectiveness could be increased. Level of Evidence II; Experimental, comparative.

RESUMEN Introducción: Como la Organización Mundial de la Salud declaró el nuevo coronavirus como una pandemia en marzo de 2020, la fisioterapia es más difícil de ejecutar, el distanciamiento social es obligatorio en el sector de la salud. Objetivo: En la práctica de fisioterapia un software de análisis de vídeo online que proporcione información gráfica y numérica en tiempo real sobre las ejecuciones de movimiento del paciente sin contacto personal directo supondría una mejora significativa en el tratamiento de la eSalud. Métodos: Fue desarrollado una capa de software sobre el software de estimación de posición del cuerpo humano OpenPose que puede extraer la serie temporal de ángulos de partes arbitrarias del cuerpo utilizando las coordenadas de salida de OpenPose procesando los datos registrados por dos cámaras simultáneamente. Para validar el procedimiento de determinación de los ángulos articulares mediante el software Openpose fue utilizado el software Kinovea. Resultados: La comparación del ángulo máximo de rodilla determinado en nuestro software y Kinovea, que es ampliamente utilizado en mediciones biomecánicas, no fue significativamente diferente (2,03±1,06°, p<0,05). Conclusión: Esto indica que el software desarrollado puede calcular los ángulos articulares adecuados con la precisión que requieren los tratamientos de fisioterapia. Dado que aún no existe dicho software, con la ayuda de este desarrollo de software, los terapeutas podrían controlar y corregir los ejercicios en tiempo real, y también a distancia, y se podría aumentar la eficacia de la fisioterapia. Nivel de Evidencia II; Experimental, comparativo.

RESUMO Introdução: Como a Organização Mundial da Saúde declarou o novo coronavírus como pandemia em março de 2020, a fisioterapia é mais difícil de executar, o distanciamento social é obrigatório no setor de saúde. Objetivo: Na prática da fisioterapia, um software de análise de vídeo online que fornece informações gráficas e numéricas em tempo real sobre as execuções de movimento do paciente sem contato pessoal direto significaria uma melhora significativa no tratamento eHealth. Métodos: Desenvolveu-se uma camada de software em cima do software de estimativa de posição do corpo humano OpenPose que pode extrair as séries temporais de ângulos de partes do corpo arbitrárias usando as coordenadas de saída do OpenPose processando os dados gravados por duas câmeras simultaneamente. Para validar o procedimento de determinação dos ângulos articulares utilizando o software Openpose utilizou-se o software Kinovea. Resultados: A comparação do ângulo máximo do joelho determinado em nosso e no software Kinovea, amplamente utilizado em medidas biomecânicas, não foi significativamente diferente (2,03±1,06°, p<0,05) Conclusão: Isso indica que o software desenvolvido pode calcular os ângulos articulares adequados com a precisão que os tratamentos de fisioterapia exigem. Como esse software ainda não existe, com a ajuda do desenvolvimento desse software, os terapeutas puderam controlar e corrigir os exercícios em tempo real, e também à distância, aumentando a eficácia da fisioterapia. Nível de Evidência II; Experimental, comparativo.

Outcomes of Minimally Invasive Aortic Valve Replacement in Obese Patients: A Propensity-Matched Study

ABSTRACT Introduction: Obese patients are at risk of complications after cardiac surgery. The aim of this study is to investigate safety and efficacy of a minimally invasive approach via upper sternotomy in this setting. Methods: We retrospectively reviewed 203 obese patients who underwent isolated, elective aortic valve replacement between January 2014 and January 2023 - 106 with minimally invasive aortic valve replacement (MIAVR) and 97 with conventional aortic valve replacement (CAVR). To account for baseline differences, a propensity-matching analysis was performed obtaining two balanced groups of 91 patients each. Results: The 30-day mortality rate was comparable between groups (1.1% MIAVR vs. 0% CAVR, P=0.99). MIAVR patients had faster extubation than CAVR patients (6 ± 2 vs. 9 ± 2 hours, P<0.01). Continuous positive airway pressure therapy was less common in the MIAVR than in the CAVR group (3.3% vs. 13.2%, P=0.03). Other postoperative complications did not differ significantly. Intensive care unit stay (1.8 ± 1.2 vs. 3.2 ± 1.4 days, P<0.01), but not hospital stay (6.7 ± 2.1 vs. 7.2 ± 1.9 days, P=0.09), was shorter for MIAVR than for CAVR patients. Follow-up survival was comparable (logrank P-value = 0.58). Conclusion: MIAVR via upper sternotomy has been shown to be a safe and effective option for obese patients. Respiratory outcome was promising with shorter mechanical ventilation time and reduced need for post-extubation support. The length of stay in the intensive care unit was reduced. These advantages might be important for the obese patient to whom minimally invasive surgery should not be denied.

Artificial intelligence to predict bed bath time in Intensive Care Units / Inteligencia artificial para predecir la hora del baño en cama en Unidades de Cuidados Intensivos / Inteligência artificial para predição do tempo de banho no leito em Unidades de Terapia Intensiva

ABSTRACT Objectives: to assess the predictive performance of different artificial intelligence algorithms to estimate bed bath execution time in critically ill patients. Methods: a methodological study, which used artificial intelligence algorithms to predict bed bath time in critically ill patients. The results of multiple regression models, multilayer perceptron neural networks and radial basis function, decision tree and random forest were analyzed. Results: among the models assessed, the neural network model with a radial basis function, containing 13 neurons in the hidden layer, presented the best predictive performance to estimate the bed bath execution time. In data validation, the squared correlation between the predicted values and the original values was 62.3%. Conclusions: the neural network model with radial basis function showed better predictive performance to estimate bed bath execution time in critically ill patients.

RESUMEN Objetivos: evaluar el rendimiento predictivo de diferentes algoritmos de inteligencia artificial para estimar el tiempo de ejecución del baño en cama en pacientes críticos. Métodos: estudio metodológico, que utilizó algoritmos de inteligencia artificial para predecir el tiempo de baño en cama en pacientes críticos. Se analizaron los resultados de modelos de regresión múltiple, redes neuronales perceptrón multicapa y función de base radial, árbol de decisión y random forest. Resultados: entre los modelos evaluados, el modelo de red neuronal con función de base radial, que contiene 13 neuronas en la capa oculta, presentó el mejor desempeño predictivo para estimar el tiempo de ejecución del baño en cama. En la validación de datos, la correlación al cuadrado entre los valores predichos y los valores originales fue del 62,3%. Conclusiones: el modelo de red neuronal con función de base radial mostró mejor rendimiento predictivo para estimar el tiempo de ejecución del baño en cama en pacientes críticos.

RESUMO Objetivos: avaliar a performance preditiva de diferentes algoritmos de inteligência artificial para estimar o tempo de execução do banho no leito em pacientes críticos. Métodos: estudo metodológico, que utilizou algoritmos de inteligência artificial para predizer o tempo de banho no leito em pacientes críticos. Foram analisados os resultados dos modelos de regressão múltipla, redes neurais perceptron multicamadas e função de base radial, árvore de decisão e random forest. Resultados: entre os modelos avaliados, o modelo de rede neural com função de base radial, contendo 13 neurônios na camada oculta, apresentou melhor performance preditiva para estimar o tempo de execução do banho no leito. Na validação dos dados, o quadrado da correlação entre os valores preditos e os valores originais foi de 62,3%. Conclusões: o modelo de rede neural com função de base radial apresentou melhor performance preditiva para estimar o tempo de execução do banho no leito em pacientes críticos.

Diagnóstico da retinopatia diabética por inteligência artificial por meio de smartphone / Diagnosis of diabetic retinopathy by artificial intelligence using smartphone

RESUMO Objetivo: Obter imagens de fundoscopia por meio de equipamento portátil e de baixo custo e, usando inteligência artificial, avaliar a presença de retinopatia diabética. Métodos: Por meio de um smartphone acoplado a um dispositivo com lente de 20D, foram obtidas imagens de fundo de olhos de pacientes diabéticos; usando a inteligência artificial, a presença de retinopatia diabética foi classificada por algoritmo binário. Resultados: Foram avaliadas 97 imagens da fundoscopia ocular (45 normais e 52 com retinopatia diabética). Com auxílio da inteligência artificial, houve acurácia diagnóstica em torno de 70 a 100% na classificação da presença de retinopatia diabética. Conclusão: A abordagem usando dispositivo portátil de baixo custo apresentou eficácia satisfatória na triagem de pacientes diabéticos com ou sem retinopatia diabética, sendo útil para locais sem condições de infraestrutura.

ABSTRACT Introduction: To obtain fundoscopy images through portable and low-cost equipment using artificial intelligence to assess the presence of DR. Methods: Fundus images of diabetic patients' eyes were obtained by using a smartphone coupled to a device with a 20D lens. By using artificial intelligence (AI), the presence of DR was classified by a binary algorithm. Results: 97 ocular fundoscopy images were evaluated (45 normal and 52 with DR). Through AI diagnostic accuracy around was 70% to 100% in the classification of the presence of DR. Conclusion: The approach using a low-cost portable device showed satisfactory efficacy in the screening of diabetic patients with or without diabetic retinopathy, being useful for places without infrastructure conditions.

Lesão renal aguda e COVID-19 em adultos jovens na terapia intensiva / Lesión renal aguda y COVID-19 en adultos jóvenes en cuidados intensivos / Acute kidney injury and COVID-19 in young adults in intensive care

Resumo Objetivo Descrever a prevalência de lesão renal aguda em adultos jovens com diagnóstico da COVID-19 admitidos em unidade terapia intensiva. Métodos Estudo retrospectivo, quantitativo e analítico. A amostra foi de adultos jovens (20 a 40 anos) admitidos em unidades de terapia intensiva, com diagnóstico de infecção por SARS-CoV-2 entre março e dezembro de 2020. Os dados foram obtidos por meio do prontuário eletrônico, e a lesão renal aguda foi definida pelo valor da creatinina, segundo critérios das diretrizes da Kidney Disease Improving Global Outcomes. A significância estatística foi de p≤0,05. Resultados Foram internados 58 adultos jovens, sendo 63,8% do sexo masculino. A hipertensão arterial sistêmica esteve presente em 39,6%, a obesidade em 18,9% e o diabetes mellitus em 8,6%. A lesão renal aguda foi identificada em 55,1%, sendo o estágio 3 predominante em 43,1% deles. Nesses pacientes, o uso de ventilação mecânica e de drogas vasoativas foi significativo em 92%, assim como a disfunção orgânica respiratória (80%), seguida da renal (76%). Fatores de risco, como transplante renal ou doença renal crônica e obesidade, aumentaram em 12,3 e 9,0 vezes, respectivamente, a chance de desenvolver lesão renal aguda. Conclusão Este estudo demonstrou alta prevalência de lesão renal em adultos jovens e sua associação com comorbidades prévias. Obesidade, transplante renal e doença renal crônica elevaram a chance de o adulto jovem desenvolver lesão renal aguda, resultando em desfechos a favor da morbimortalidade.

Resumen Objetivo Describir la prevalencia de lesión renal aguda en adultos jóvenes con diagnóstico de COVID-19 admitidos en unidad de cuidados intensivos. Métodos Estudio retrospectivo, cuantitativo y analítico. La muestra fue de adultos jóvenes (20 a 40 años) admitidos en unidades de cuidados intensivos, con diagnóstico de infección por SARS-CoV-2 entre marzo y diciembre de 2020. Los datos se obtuvieron por medio de historias clínicas electrónicas, y la lesión renal aguda fue definida por el valor de la creatinina, de acuerdo con criterios de las directrices de la Kidney Disease Improving Global Outcomes. La significación estadística fue de p≤0,05. Resultados Hubo 58 adultos jóvenes internados, el 63,8 % de sexo masculino. La hipertensión arterial sistémica estuvo presente en el 39,6 %, la obesidad en el 18,9 % y la diabetes mellitus en el 8,6 %. Se identificó lesión renal aguda en el 55,1 %, de nivel 3 como predominante en el 43,1 % de los casos. En esos pacientes, el uso de ventilación mecánica y de drogas vasoactivas fue significativo en el 92 %, así como también la disfunción orgánica respiratoria (80 %), seguida de la renal (76 %). Los factores de riesgo, como trasplante renal o enfermedad renal crónica y obesidad, aumentaron 12,3 y 9,0 veces respectivamente la probabilidad de presentar lesión renal aguda. Conclusión Este estudio demostró alta prevalencia de lesión renal en adultos jóvenes y su asociación con comorbilidades previas. La obesidad, el trasplante renal y la enfermedad renal crónica aumentaron la probabilidad de que los adultos jóvenes presenten lesión renal aguda, lo que da como resultado desenlaces a favor de la morbimortalidad.

Abstract Objective To describe acute kidney injury prevalence in young adults diagnosed with COVID-19 admitted to the Intensive Care Unit. Methods This is a retrospective, quantitative and analytical study. The sample consisted of young adults (20 to 40 years old) admitted to Intensive Care Units, diagnosed with SARS-CoV-2 infection between March and December 2020. Data were obtained through electronic medical records, and kidney injury acute was defined by the creatinine value, according to the Kidney Disease Improving Global Outcomes guidelines criteria. Statistical significance was p≤0.05. Results A total of 58 young adults were hospitalized, 63.8% of whom were male. Hypertension was present in 39.6%, obesity in 18.9%, and diabetes mellitus in 8.6%. Acute kidney injury was identified in 55.1%, with stage 3 predominating in 43.1% of them. In these patients, the use of mechanical ventilation and vasoactive drugs was significant in 92% as well as respiratory organ dysfunction (80%), followed by renal organ dysfunction (76%). Risk factors such as kidney transplantation or chronic kidney disease and obesity increased by 12.3 and 9.0 times, respectively, the chances of developing acute kidney injury. Conclusion This study demonstrated a high kidney injury prevalence in young adults and its association with previous comorbidities. Obesity, kidney transplantation and chronic kidney disease increased the chance of young adults to develop acute kidney injury, resulting in outcomes in favor of morbidity and mortality.

Acute Aortic Dissection Type A in Younger Patients (< 60 Years Old) - Does Full Arch Replacement Provide Benefits Compared to Limited Approach?

ABSTRACT Introduction: Acute aortic dissection Stanford type A (AADA) is a surgical emergency associated with high morbidity and mortality. Although surgical management has improved, the optimal therapy is a matter of debate. Different surgical strategies have been proposed for patients under 60 years old. This paper evaluates the postoperative outcome and the need for secondary aortic operation after a limited surgical approach (proximal arch replacement) vs. extended arch repair. Methods: Between January 2000 and January 2018, 530 patients received surgical treatment for AADA at our hospital; 182 were under 60 years old and were enrolled in this study - Group A (n=68), limited arch repair (proximal arch replacement), and group B (n=114), extended arch repair (> proximal arch replacement). Results: More pericardial tamponade (P=0.005) and preoperative mechanical resuscitation (P=0.014) were seen in Group A. More need for renal replacement therapy (P=0.047) was seen in the full arch group. Mechanical ventilation time (P=0.022) and intensive care unit stay (P<0.001) were shorter in the limited repair group. Thirty-day mortality was comparable (P=0.117). New onset of postoperative stroke was comparable (Group A four patients [5.9%] vs. Group B 15 patients [13.2%]; P=0.120). Long-term follow-up did not differ significantly for secondary aortic surgery. Conclusion: Even though young patients received only limited arch repair, the outcome was comparable. Full-arch replacement was not beneficial in the long-time follow-up. A limited approach is justified in the cohort of young AADA patients. Exemptions, like known Marfan syndrome and the presence of an intimal tear in the arch, should be considered.

Effects of the preoperative use of artificial tears combined with recombinant bovine basic fibroblast growth factor on cataract patients complicated with dry eyes / Efeitos do uso pré-operatório de lágrimas artificiais combinadas com fator de crescimento de fibroblastos básicos bovinos recombinantes em pacientes com catarata complicada com olhos secos

ABSTRACT Purpose: To assess the effects of the preoperative application of artificial tears combined with recombinant bovine basic fibroblast growth factor on the ocular surface function and inflammatory factor levels after operation in cataract patients complicated with dry eyes. Methods: A total of 118 cataract patients (118 eyes) complicated with dry eyes treated from February 2019 to February2020 were assigned to control and observation groups (n=59 eyes/group) using a random number table. One week before the operation, the control group was administered 0.1% sodium hyaluronate eye drops (artificial tears), based on which the observation group received Beifushu eye drops (recombinant bovine basic fibroblast growth factor), both 6 times daily for 1 week. A comparison was made between the scores of clinical symptoms and the indices of ocular surface function, inflammatory factors in tears, and oxidative stress indices before and after the operation. The ocular surface function was evaluated by an ocular surface disease index questionnaire, tear film breakup-time assay, Schirmer's I test, and corneal fluorescein stain test. The inflammatory factors in tears were measured. Results: No significant differences were noted in the general data and clinical symptom score, ocular surface disease index, tear film breakup-time, Schirmer's I test score, fluorescein stain score, interleukin-6, tumor necrosis factor-alpha, malondialdehyde, superoxide dismutase, lipid peroxide, and total antioxidant capacity before treatment between the 2 groups (p>0.05). After treatment, the clinical symptom score, ocular surface disease index, fluorescein stain score, tumor necrosis factor-alpha, interleukin-6, malondial-dehyde and lipid peroxide declined significantly, and tear film breakup-time, Schirmer's I test score, superoxide dismutase, and total antioxidant capacity increased in both the groups. The improvements in the clinical symptom score as well as in the indices of ocular surface function, inflammatory factors, and oxidative stress were more prominent in the observation group than in the control group (p<0.05). Conclusions: Artificial tears combined with recombinant bovine basic fibroblast growth factor before operation. significantly improved the ocular surface function, reduced inflammatory factors in tears, and alleviated dry eye symptoms after operation in cataract patients.

RESUMO Objetivo: Avaliar os efeitos da aplicação pré-operatória de lágrimas artificiais combinadas com o fator de crescimento de fibroblastos básicos bovinos recombinantes na função da superfície ocular e níveis de fator inflamatório após cirurgia em pacientes com catarata complicada com olhos secos. Métodos: Um total de 118 pacientes com catarata complicada com olhos secos (118 olhos), tratados entre fevereiro de 2019 e fevereiro de 2020, foram divididos em grupos de controle e de observação (n=59, 59 olhos) usando uma tabela de números aleatórios. Uma semana antes da cirurgia, o grupo controle recebeu colírio de hialuronato de sódio a 0,1% (lágrimas artificiais), enquanto o grupo de observação recebeu colírio Beifushu (fator de crescimento de fibroblastos básicos bovinos recombinantes), ambos, seis vezes ao dia, por uma semana. Antes do tratamento e um mês após a cirurgia, os escores de sintomas clínicos, índices de função da superfície ocular, níveis de fatores inflamatórios nas lágrimas e índices de estresse oxidativo foram comparados. A função da superfície ocular foi avaliada pelo questionário do índice de doença da superfície ocular, ensaio de tempo de ruptura do filme lacrimal, teste I de Schirmer e teste de coloração por fluoresceína da córnea. Os níveis de fatores inflamatórios nas lágrimas foram medidos. Resultados: Não houve diferenças significativas nos dados gerais e no escore de sintomas clínicos, índice de doença da superfície ocular, tempo de ruptura do filme lacrimal, escore do teste I de Schirmer, pontuação do teste de coloração por fluoresceína da córnea, interleucina-6, fator de necrose tumoral alfa, malondialdeído, superóxido dismutase, peróxido lipídico e capacidade antioxidante total antes do tratamento entre os dois grupos (p>0,05). Após o tratamento, o escore de sintomas clínicos, índice de doença da superfície ocular, escore do teste de coloração por fluoresceína da córnea, fator de necrose tumoral alfa, interleucina-6, malondialdeído e peróxido lipídico diminuíram significativamente, e o tempo de ruptura do filme lacrimal, escore do teste I de Schirmer, superóxido dismutase e a capacidade antioxidante total aumentou em ambos os grupos. As melhorias no escore de sintomas clínicos, bem como os índices de função da superfície ocular, fatores inflamatórios e estresse oxidativo foram mais proeminentes no grupo de observação do que no grupo controle (p<0,05). Conclusões: Lágrimas artificiais combinadas com fator de crescimento de fibroblastos básicos recombinantes antes da cirurgia melhoram notavelmente a função da superfície ocular, diminuem os níveis de fatores inflamatórios nas lágrimas e aliviam os sintomas de olho seco após a cirurgia em pacientes com catarata complicada com olhos secos.

A literacia em saúde no ChatGPT: explorando o potencial de uso de inteligência artificial para a elaboração de textos acadêmicos / Health literacy in ChatGPT: exploring the potential of the use of artificial intelligence to produce academic text

Resumo O presente estudo buscou conhecer as principais características das respostas geradas pela ferramenta ChatGPT a consultas sobre um tema emergente na literatura acadêmica de língua portuguesa - a literacia em saúde -, assim como discutir de que forma tais evidências podem contribuir para uma melhor compreensão sobre os limites e os desafios relacionados ao uso de Inteligência Artificial (IA) para a construção do conhecimento acadêmico. Trata-se de um estudo descritivo e exploratório, baseado em consultas ao ChatGPT, a partir de cinco perguntas disparadoras, feitas em sequência, nas línguas portuguesa (Brasil) e inglesa, com níveis de complexidade linguística crescentes. A análise dos resultados evidenciou uma ampla perspectiva para o uso de tecnologias baseadas em IA, como o ChatGPT, uma ferramenta disponibilizada de forma ampla e irrestrita, com uma interface intuitiva e simples, que se mostrou capaz de gerar textos coerentes, estruturados, em linguagem natural. Considerando o fenômeno do produtivismo acadêmico, associado a uma tendência crescente de má conduta profissional, sobretudo o plágio, coloca-se necessidade de um olhar ainda mais cuidadoso sobre o processo de produção e divulgação do conhecimento científico mediado por tecnologias de IA.

Abstract The aim of this study was to identify and analyze the main constituent elements of text generated by ChatGPT in response to questions on an emerging topic in the academic literature in Portuguese - health literacy - and discuss how the evidence produced can contribute to improving our understanding of the limits and challenges of using artificial intelligence (AI) in academic writing. We conducted an exploratory descriptive study based on responses to five consecutive questions in Portuguese and English with increasing levels of complexity put to ChatGPT. Our findings reveal the potential of the use of widely available, unrestricted access AI-based technologies like ChatGPT for academic writing. Featuring a simple and intuitive interface, the tool generated structured and coherent text using natural-like language. Considering that academic productivism is associated with a growing trend in professional misconduct, especially plagiarism, there is a need too take a careful look at academic writing and scientific knowledge dissemination processes mediated by AI technologies.

The function of competitive intelligence in South African insurance post-COVID-19 outbreak

Background: Competitive intelligence (CI) involves monitoring competitors and providing organizations with actionable and meaningful intelligence. Some studies have focused on the role of CI in other industries post-COVID-19 pandemic. Objectives: This article aims to examine the impact of COVID-19 on the South African insurance sector and how the integration of CI and related technologies can sustain the South African insurance sector post-COVID-19 epidemic. Method: Qualitative research with an exploratory-driven approach was used to examine the impact of the COVID-19 pandemic on the South African insurance sector. Qualitative secondary data analyses were conducted to measure insurance claims and death benefits paid during the COVID-19 pandemic. Results: The research findings showed that the COVID-19 pandemic significantly impacted the South African insurance industry, leading to a reassessment of pricing, products, and risk management. COVID-19 caused disparities in death benefits and claims between provinces; not everyone was insured. Despite challenges, South African insurers remained well-capitalised and attentive to policyholders. Integrating CI and analytical technologies could enhance the flexibility of prevention, risk management, and product design. Conclusion: COVID-19 requires digital transformation and CI for South African insurers' competitiveness. Integrating artificial intelligence (AI), big data (BD), and CI enhances value, efficiency, and risk assessments. Contribution: This study highlights the importance of integrating CI strategies and related technologies into South African insurance firms' operations to aid in their recovery from the COVID-19 crisis. It addresses a research gap and adds to academic knowledge in this area.

Application progress of artificial intelligence in the diagnosis of esophageal cancer / 中国胸心血管外科临床杂志

@#Esophageal cancer is an aggressive malignancy with high morbidity and poor prognosis. Symptoms of early esophageal cancer are insidious and difficult to detect, while advanced esophageal obstruction, lesion infiltration and metastasis seriously affect patients’ quality of life. Early detection and treatment can help to increase the survival chance of patients. Recently, artificial intelligence (AI) has shown remarkable success in diagnosis of esophageal cancer, highlighting the great potential of new AI-assisted diagnostic modalities. This paper aims to review recent progress of AI in the diagnosis of esophageal cancer and to prospect its clinical application.

Research progress of artificial intelligence in pathological subtypes classification and gene expression analysis of lung adenocarcinoma / 中国胸心血管外科临床杂志

@#Lung adenocarcinoma is a prevalent histological subtype of non-small cell lung cancer with different morphologic and molecular features that are critical for prognosis and treatment planning. In recent years, with the development of artificial intelligence technology, its application in the study of pathological subtypes and gene expression of lung adenocarcinoma has gained widespread attention. This paper reviews the research progress of machine learning and deep learning in pathological subtypes classification and gene expression analysis of lung adenocarcinoma, and some problems and challenges at the present stage are summarized and the future directions of artificial intelligence in lung adenocarcinoma research are foreseen.

Clinical effect of double plasma molecular adsorption system in treatment of patients with chronic liver failure in high-altitude areas / 临床肝胆病杂志

ObjectiveTo investigate the differences in clinical features and mortality rate between native patients with chronic liver failure （CHF） and migrated patients with CHF after treatment with double plasma molecular adsorption system （DPMAS） in high-altitude areas. MethodsA total of 63 patients with CHF who received DPMAS treatment in the intensive care unit of General Hospital of Tibet Military Command from January 2016 to December 2021 were enrolled， and according to their history of residence in high-altitude areas， they were divided into native group with 29 patients and migrated group with 34 patients. The two groups were compared in terms of baseline data and clinical features before and after DPMAS treatment. The independent-samples t test was used for comparison of normally distributed continuous data between groups， and the paired t-test was used for comparison before and after treatment within each group； the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between groups， and the Wilcoxon signed rank sum test was used for comparison before and after treatment within each group； the chi-square test was used for comparison of categorical data between groups. The Kaplan-Meier method was used to plot survival curves， and the Log-rank test was used for comparison of the risk of death. ResultsCompared with the native group， the migrated group had a significantly higher proportion of Chinese Han patients （χ2=41.729， P<0.001）， and compared with the migrated group， the native group had a significantly longer duration of the most recent continuous residence in high-altitude areas （Z=3.364， P<0.001）. Compared with the native group， the migrated group had significantly higher MELD score and incidence rates of hepatic encephalopathy， hepatorenal syndrome， and gastrointestinal bleeding （Z=2.318， χ2=6.903， 5.154， and 6.262， all P<0.05）. Both groups had significant changes in platelet count （PLT）， hemoglobin count （HGB）， alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， albumin， total bilirubin （TBil）， direct bilirubin （DBil）， lactate dehydrogenase （LDH）， creatinine （Cr）， and international normalized ratio （INR） after DPMAS treatment （all P<0.05）. Before DPMAS treatment， compared with the native group， the migrated group had significantly higher levels of ALT， AST， TBil， DBil， LDH， Cr， BUN， and INR （all P<0.05） and a significantly lower level of HGB （P<0.05）； after DPMAS treatment， compared with the native group， the migrated group had significantly greater reductions in PLT and HGB （both P<0.05） and still significantly higher levels of ALT， AST， TBil， DBil， LDH， BUN， and INR （all P<0.05）. The 60-day mortality rate of patients after DPMAS treatment was 52.5% （95% confidence interval ［CI］： 41.7 — 63.8） in the native group and 81.3% （95%CI： 77.9 — 85.6） in the migrated group. Compared with the native group （hazard ratio ［HR］=0.47， 95%CI： 0.23 — 0.95）， the migrated group had a significant increase in the risk of death on day 60 （HR=2.14， 95%CI： 1.06 — 4.32， P=0.039）. ConclusionCompared with the native patients with CHF in high-altitude areas， migrated patients have a higher degree of liver impairment， a lower degree of improvement in liver function after DPMAS treatment， and a higher mortality rate. Clinical medical staff need to pay more attention to migrated patients with CHF， so as to improve their survival rates.