THE NEW ERA OF DENTISTRY: MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE

Innovative computer techniques are now being utilized not only in academic research but also in commercial dental practice, revolutionizing various areas of dentistry. This digitalization trend is driven by the increasing demands for treatment and diagnosis in the eld. Accurate diagnosis is crucial in dentistry, whether it be in orthodontics, maxillofacial surgery, periodontics, or prosthetics, as it forms the basis for creating effective treatment plans and restoring patients' oral health. While a specialist's expertise plays a vital role in diagnosis and treatment planning, it is susceptible to the inherent risks of human error, given the multifactorial nature of dental conditions. Consequently, there is growing interest in leveraging multi-parametric pattern recognition methods, including statistics, machine learning, and articial intelligence (AI), to enhance clinical decision-making. The introduction of clinical decision support systems (CDSS) and genetic algorithms (GAs) in dental research and clinical practice holds great promise for both healthcare professionals and patients. Extensive work has been undertaken to develop CDSS in dentistry, and this article reviews the latest advancements in this eld.

Exploration and perspective of paradigm and technical system of precise and intelligent minimally invasive surgery for gastric cancer / 中华消化外科杂志

As precision and intelligent medicine takeing hold, the concept of minimally invasive surgery for gastric cancer has evolved from simply pursuing the effect of surgical results to being more patient-centered, safer, less trauma, more efficient, and more in line with the spirit of the evidence-based decision-making comprehensive treatment model. The authors review the develop-ment and technical innovation of precise and intelligent surgery in recent years, and proposes the expanding direction of new paradigm of precise and intelligent minimally invasive surgery for gastric cancer based on the work and achievements of team work. It is believed that in the future, advances in artificial intelligence, fluorescence imaging, surgical navigation, optical biopsy and other technolo-gies will bring new vitality to minimally invasive surgery for gastric cancer.

REVIEW OF HAEMATOPATHOLOGY IN THE AGE OF ARTIFICIAL INTELLIGENCE-MACHINE LEARNING BETWEEN 2011 AND 2021

Background and Objective: Arti?cial intelligence has transformed pathology diagnostics over the past decade between January 2011 to December 2021, with new emerging technologies and software promising to transform and enhance haematopathology diagnostics further. More rapid and pro?cient AI systems appears to be threatening the role of Haematopathologist in the diagnostic process. This systemic review aims to explore the success of arti?cial intelligence applications in the ?eld of haematopathology and assess whether the role of haematopathologist will indeed prove redundant in the future. Methods:We performed an extensive search of Pubmed, Medline and National Center for Biotechnology Information (NCBI) at the U.S. National Library of Medicine (NLM) and google scholar databases for arti?cial intelligence in Haematopathology between January 2011 and December 2021.Reference lists of articles were thereafter reviewed for additional reviews. The results are grouped and discussed according to the world health organization grouping of haematopathology disease. Studies where the AI algorithms were compared to that of specialist pathologist were included as this was the main focus and aim of the review. Key content and ?ndings: Arti?cial intelligent applications on peripheral smears, bone marrow aspirate smears, immunohistochemical stains are documented sequentially in the manuscript from the introduction of whole slide imaging applied to peripheral and bone marrow smears for identi?cation of white blood cells to the application of more complex convoluted neural networks for discrimination of lymphoma and leukaemia subtypes and lymphoma grading. All the studies documented in this review have shown favourable outcome for arti?cial intelligence applications to haematopathology disease. Conclusion: The above studies have demonstrated that arti?cial intelligence can be successfully integrated into haematopathology diagnostics. Although all studies were shown to be comparable to the pathologist, there is a requirement for further standardisation and validation studies for optimization of deep learning algorithms. The notion that AI will replace the pathologist is also incorrect. The microscope will not be replaced. Rather, AI integration into pathology is meant enhance the accuracy and speed of diagnostic work?ows enabling the pathologist to focus on more complex laboratory problems. AI and human pathologists should co- operate, rather than compete.

Analysis of correlation of glucose dosage by glycosimeter, laboratory dosage and artificial intelligence equipment / Correlação da dosagem de glicose por glicosímetro, dosagem laboratorial e de equipamento de inteligência artificial

ABSTRACT Introduction With the increasing number of cases related to Diabetes Mellitus (DM), glycemic control through laboratory methods or rapid tests is essential. Objective To analyze the correlation of three glucose determination methodologies (Glucometer, laboratory analysis and with point of care artificial intelligence equipment). Method Blood samples from the digital pulp and venous blood from the antecubital fossa were collected from 20 volunteers of different ages and sex. Blood glucose measurements were determined by the 3 methodologies mentioned above. Result Spearmans correlation analysis carried out between all types of tests shows that there is a strong and statistically significant positive correlation, indicating the compatibility of results regardless of the method applied. Conclusion The methodologies are correlated, however, the average values?? obtained by artificial intelligence were 40% higher, which can impact the clinical interpretation of results.

RESUMO Introdução Com o número crescente de casos relacionados a Diabetes Mellitus (DM), é indispensável o controle glicêmico através de métodos laboratoriais ou testes rápidos. Objetivo Analisar a correlação de três metodologias de determinação de glicose (Glicosímetro, análise laboratorial e com o equipamento com inteligência artificial de point of care). Método Foram coletadas amostras de sangue da polpa digital e sangue venoso da fossa antecubital de 20 voluntários de diferentes idades e sexo. Dosagens de glicose sanguínea foram determinadas pelas 3 metodologias acima citadas. Resultado A análise de correlação de Spearman realizada entre todos os tipos de testes mostra que há uma correlação positiva forte e estatisticamente significante, indicando a compatibilidade de resultados independentemente do método aplicado. Conclusão As metodologias apresentam correlação, no entanto, os valores médios obtidos pela inteligência artificial mostraram-se 40% mais elevada que pode impactar na interpretação clínica dos resultados.

Incidence and endoscopic characteristics of acute laryngeal lesions in children undergoing endotracheal intubation / Incidência e características endoscópicas de lesões agudas laríngeas em crianças submetidas à intubação endotraqueal

ABSTRACT INTRODUCTION: Acute laryngeal lesions after intubation appear to be precursors of chronic lesions. OBJECTIVE: To describe the incidence and type of acute laryngeal lesions after extubation in a pediatric intensive care unit (PICU). METHODS: A cohort study involving children from birth to <5 years, submitted to intubation for more than 24 h in the PICU of an university hospital. In the first eight hours after extubation, a flexible fiberoptic laryngoscopy (FFL) was performed at the bedside. Those with moderate to severe abnormalities underwent a second examination seven to ten days later. RESULTS: 177 patients were included, with a median age of 2.46 months. The mean intubation time was 8.19 days. Seventy-three (41.2%) patients had moderate or severe alterations at the FFL, with the remaining showing only minor alterations or normal results. During follow-up, 16 children from the group with moderate to severe lesions developed subglottic stenosis. One patient from the normal FFL group had subglottic stenosis, resulting in an incidence of 9.6% of chronic lesions. CONCLUSION: Most children in the study developed mild acute laryngeal lesions caused by endotracheal intubation, which improved in a few days after extubation.

Resumo Introdução: As lesões laríngeas agudas após a intubação parecem ser precursoras das lesões crônicas. Objetivo: Descrever a incidência e o tipo de lesões laríngeas agudas após extubação em Unidade de Terapia Intensiva Pediátrica (UTIP). Método: Estudo de coorte envolvendo crianças de 0 a 5 anos incompletos, com intubação por mais de 24 horas na UTIP de um hospital universitário. Nas primeiras 8 horas após extubação, uma nasofibrolaringoscopia à beira do leito foi realizada. Aqueles com anormalidades moderadas a graves foram submetidos a novo exame entre 7-10 dias após. Resultados: 177 pacientes foram incluídos, com idade mediana de 2,46 meses. O tempo médio de intubação foi de 8,19 dias. Setenta e três (41,2%) pacientes apresentaram alterações moderadas ou graves à laringoscopia, o restante mostrando apenas alterações leves ou exame normal. Durante o acompanhamento, 16 crianças do grupo lesões moderada a grave desenvolveram estenose subglótica. Um paciente do grupo laringoscopia normal teve estenose subglótica, somando-se uma incidência de 9,6% de lesões crônicas. Conclusão: A maioria das crianças do estudo desenvolveu lesões laríngeas agudas leves decorrentes da intubação endotraqueal, com melhora em alguns dias após a extubação.

Uso da inteligência articial como armamento no diagnóstico e condução clínica da estenose de canal lombar / Use of Articial Intelligence in Diagnosis and Clinical Conduct of Lumbar Spinal Stenosis

A estenose do canal vertebral lombar (ECL) é uma patologia complexa, com alta incidência entre pessoas acima de 65 anos de idade. No entanto, o diagnóstico correto é, por vezes, difícil de ser confirmado. O uso de modelos de Inteligência Articial (IA) na medicina é, em geral, desconhecida para a maioria da comunidade médica, mas tem sido usada há décadas na assistência em UTI, os métodos de imagem e dispositivos de diagnóstico eletrônico (ECG). Através de uma revisão sistemática da literatura, com foco nos achados clínicos e radiológicos, juntamente com todas as modalidades de tratamento, foi possível identicar o ambiente completo de pacientes LSS, para responder a quatro questões: (a) "Com base no quadro clínico, o paciente tem um, cenário moderado ou grave?"; (b) "Com base nos dados radiológicos, o paciente pode ser classicado com um cenário leve,moderada ou grave?"; (c) "Qual é a probabilidade, com base na anamnese, do paciente ter ECL?"; (d) "Qual é o melhor tratamento a ser oferecido?".þ. Como auxílio de um software usando Sistema Especialista (Expert Sinta), uma linguagem de IA, alocamos todas as variáveis e seus valores para orientar o software responder às quatro perguntas. Foi possível identicar 657 artigos cientícos, no entanto apenas 63 poderia mencionar não apenas as variáveis, mas a sua probabilidade de ocorrência ou teve disponibilidade texto completo. Foi possível classicar a intensidade do quadro clínico e radiológico, criar um índice de probabilidade para LSS e oferecer o melhor tratamento. Recomendamos o uso, sob supervisão médica, em de Neurocirurgia ou clínicas ortopédicas como um conselheiro para os pacientes com ELA.

The lumbar spinal stenosis (LSS) is a complex pathology with high incidence among people above 65 years old. However, the correct diagnose is sometimes difcult to perform. The use of Articial Intelligence (AI) models in medicine is, in general, unfamiliar for the majority of medical community, but has been used for decades in assistance in ICUs, image methods and electronic diagnostic devices (EKG). Through a systematic literature review focused in the clinical and radiological ndings, in addition to all treatmentmodalities, we identied the complete environment of LSS patients, to answer four questions. (a) "Based on the clinical presentation, the patient has a mild, moderate or severe scenario?", (b) "Based on the radiological data, the patient can be classied having a mild, moderate or severe scenario?", (c) "What is the probability, based on the anamneses, the patient has LSS?", and (d) "What is the best treatment to be offered?".With the aid of a software using Expert System (Expert Sinta), a language of AI, we allocate all the variables and their values to orient the software to answer the four questions. It was possible to identify 657 scientic articles, however only 63 could mention not only the variables, but their occurrence probability or had full text availability. It was possible to classify the intensity the clinical and radiological scenario, create a probability index for LSS and offer the best treatment. We recommend the use, under medical supervision, in neurosurgery or orthopedic clinics as an adviser for patients with LSS.

Subject service in Medical Library of Chinese PLA:Its 3-year practical experiences and prospect / 中华医学图书情报杂志

The practical experiences with subject service in Medical Library of Chinese PLA were summarized in terms of the establishment of user information records, accumulation and summation of information, and construc-tion of information platform. Suggestions were put forward for the improvement of subject service in Medical Library of Chinese PLA, such as holding the big information concept in the big data era, using the biomedical data as the target of study, providing various kinds of service, integrating seamless, dynamic and interactive library service into user service. The fact that focus on artificial intelligence, computer, information and coomunication technologies is one of the future directions was pointed out.

50 Years of Tuberculosis Control in India: Progress, Pitfalls and the Way Forward.

India established the National Tuberculosis Control Project (NTCP) 50 years ago and re-designed it as Revised NTCP (RNTCP) 19 years ago. Tuberculosis (TB) control was beset with obstacles — BCG vaccination was found ineffective in TB control in 1979; human immunodeficiency virus began spreading in India since 1984 with TB as the commonest opportunistic disease; multi-drug resistance was found to be prevalent since 1992. The World Health Organization declared TB as global emergency in 1993. Yet, RNTCP was extended to the whole nation very slowly, taking 13 years from inception. The first objective of RNTCP, namely 85% treatment success has been achieved and case-fatality had dropped by 90%. Still, TB burden continues to remain huge; about half the cases are not getting registered under RNTCP; pediatric TB is neglected; TB drains national economy of US$ 23 billion annually. Therefore, TB control is in urgent need of re-design and re-invigoration, with additional inputs and system re-organization to cover all such gaps. We highlight the need for Public Health infrastructure under which all vertical disease control projects such as RNTCP should be synergized for better efficiency and for establishing Public Health Surveillance for collecting denominator-based data on incidence and prevalence to guide course corrections. India ought to spend 3 to 5 times more on TB control than at present. Control needs clear epidemiologic definition and measurable parameters for monitoring the level of control over time. TB control is both a measure of, and a means to, socioeconomic development.

MEDISAN: orgullo de los profesionales de la salud santiagueros / MEDISAN: pride of Santiago health professionals

Se analizan la progresión histórica y producción científica de la revista electrónica Medisan; se comparan sus logros con los de otras publicaciones nacionales, se ofrecen datos estadísticos correspondientes al 2010 y se describen las principales estrategias incorporadas desde el 2008 para el incremento constante de su calidad y rigor científico.

The historical progress and scientific production of the electronic journal MEDISAN are analyzed; Its achievements are compared with those of other national publications, statistical data of 2010 are provided and the main strategies built from 2008 for the steadily increasing quality and scientific rigor are described.

Dispersive Liquid-Liquid Microextraction Based on Solidification of Floating Organic Drop with High Performance Liquid Chromatography for Determination of Decabrominated Diphenyl Ether in Surficial Sediments / 分析化学

A method for the determination of decabrominated diphenyl ether(decaBDE) in sediment samples at trace level using dispersive liquid-liquid microextraction based on the solidification of floating organic drop (DLLME-SFO) and high performance liquid chromatography-ultraviolet detector (HPLC-UV) has developed.Based on the data of interactive orthogonal array design, the optimization experimental conditions were obtained with BP artificial neural network model: 1.00 mL methanol as dispersive solvent, 35.0 μL dodecanol as extractive solvent, 10.00% NaCl, pH 5, and extraction in 10 min.The extraction recovery (ER) was 62.22% at the extraction conditions.The proposed method exhibited a wide linear range(3.5-1400 ng/g) with R~2 =0.9921.The limit of detection (LOD) and the limit of quantification (LOQ) of this method were 2.3 pg/g(S/N =2) and 5.6 pg/g(S/N = 5), respectively.The recoveries of real samples at different spiking levels of decaBDE were 104.2%, 98.4% and 97.7%, respectively.Extraction, concentration and separation procedures for decaBDE from the sediment sample were carried out by one step, and hence, the process of DLLME-SFO for decaBDE was shortened.

Estimation of annual risk of tuberculosis infection among children irrespective of BCG scar in the south zone of India.

Objective: To estimate the proportion infected and compute Annual Risk of Tuberculosis Infection (ARTI) among children irrespective of BCG scar and compare with that among children without BCG scar. Methodology: Tuberculin survey was conducted in south zone of India as a part of the nation-wide survey to estimate the ARTI in different parts of the country and ARTI was computed among children without BCG scar excluding children with BCG scar. In this exercise, the tuberculin test results of children with BCG scar and irrespective of BCG scar were considered for analysis and the results were compared. Results: The prevalence of infection and ARTI estimated among children irrespective of BCG scar aged 1-9 years were 5.7% and 1.0% (95% C.I: 0.8-1.3) respectively. The corresponding figures among unvaccinated children were 5.9% and 1.0% (95% C.I: 0.7-1.4) respectively. The ARTI among children irrespective of BCG scar were similar to that among unvaccinated children. Conclusion: Estimation of proportion of children infected and computation of ARTI using mirror-image technique could be undertaken among children irrespective of BCG scar among children aged either from 1-9 years or 5-9 years.