Comparing ChatGPT and Bing, in response to the Home Blood Pressure Monitoring (HBPM) knowledge checklist.

High blood pressure is one of the major public health problems that is prevalent worldwide. Due to the rapid increase in the number of users of artificial intelligence tools such as ChatGPT and Bing, it is expected that patients will use these tools as a source of information to obtain information about high blood pressure. The purpose of this study is to check the accuracy, completeness, and reproducibility of answers provided by ChatGPT and Bing to the knowledge questionnaire of blood pressure control at home. In this study, ChatGPT and Bing's responses to the HBPM 10-question knowledge checklist on blood pressure measurement were independently reviewed by three cardiologists. The mean accuracy rating of ChatGPT was 5.96 (SD = 0.17) indicating the responses were highly accurate overall, with the vast majority receiving the top score. The mean accuracy and completeness of ChatGPT were 5.96 (SD = 0.17) and 2.93 (SD = 0.25) and in Bing were 5.31 (SD = 0.67), and 2.13 (SD = 0.53) Respectively. Due to the expansion of artificial intelligence applications, patients can use new tools such as ChatGPT and Bing to search for information and at the same time can trust the information obtained. we found that the answers obtained from ChatGPT are reliable and valuable for patients, while Bing is also considered a powerful tool, it has more limitations than ChatGPT, and the answers should be interpreted with caution.

A Systematic Review of Health Management Mobile Applications in COVID-19 Pandemic: Features, Advantages, and Disadvantages.

Introduction: With the increasing accessibility of smartphones, their use has been considered in healthcare services. Mobile applications have played a pivotal role in providing health services during COVID-19. This study is aimed at identifying the features, advantages, and disadvantages of health management mobile applications during COVID-19. Methods: This systematic review was conducted in PubMed, Scopus, and Web of Science using the related keywords up to November 2021. The original articles in English about the health management mobile applications in COVID-19 were selected. The study selection was done by two researchers independently according to inclusion and exclusion criteria. Data extraction was done using a data extraction form, and the results were summarized and reported in related tables and figures. Results: Finally, 12 articles were included based on the criteria. The benefits of mobile health applications for health management during COVID-19 were in four themes and 19 subthemes, and the most advantages of the application were in disease management and the possibility of recording information by users, digital tracking of calls, and data confidentiality. Furthermore, the disadvantages of them have been presented in two themes and 14 subthemes. The most common disadvantages are reduced adherence to daily symptom reports, personal interpretation of questions, and result bias. Conclusion: The study results showed that mobile applications have been effective in controlling the prevalence of COVID-19 by identifying virus-infested environments, identifying and monitoring infected people, controlling social distancing, and maintaining quarantine. It is suggested that usability, ethical and security considerations, protection of personal information, and privacy of users be considered in application design and development.

Immunogenicity of COVID-19 vaccines in adult patients with autoimmune inflammatory rheumatic diseases: A systematic review and meta-analysis.

COVID-19 vaccines approved by the Food and Drug Administration have been studied mainly in healthy individuals and there is limited information on their immunogenicity in patients with autoimmune diseases. Therefore, the current systematic review and meta-analysis study, aimed to comprehensively investigate the immunogenicity of these vaccines in patients with autoimmune inflammatory rheumatoid diseases (AIRDs). A comprehensive literature search was performed on various databases, including Google Scholar, PubMed, Web of Science, EMBASE, and Cochrane Library, to select cohort and randomized clinical trial (RCT) studies up to January 2022. Also, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist protocol and the I2 statistic were used for quality assessment and heterogeneity tests of the selected studies. Fixed and random-effects models were estimated based on the heterogeneity tests, and pooled data were determined as the ratio of mean (ROM) with a 95% confidence interval (CI). As a result, we found that vaccines can cause favorable immunogenicity and antibody response in vaccinated AIRD patients; however, older age and the concomitant consumption of conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs) and biologic DMARDs (bDMARDs) could significantly reduce the vaccine immunogenicity. Consequently, our findings revealed significant humoral responses (seropositive) in AIRD patients following the administration of COVID-19 vaccines.

Bibliometric analysis of the use of artificial intelligence in COVID-19 based on scientific studies.

Background and Aims: One such strategy is citation analysis used by researchers for research planning an article referred to by another article receives a "citation." By using bibliometric analysis, the development of research areas and authors' influence can be investigated. The current study aimed to identify and analyze the characteristics of 100 highly cited articles on the use of artificial intelligence concerning COVID-19. Methods: On July 27, 2022, this database was searched using the keywords "artificial intelligence" and "COVID-19" in the topic. After extensive searching, all retrieved articles were sorted by the number of citations, and 100 highly cited articles were included based on the number of citations. The following data were extracted: year of publication, type of study, name of journal, country, number of citations, language, and keywords. Results: The average number of citations for 100 highly cited articles was 138.54. The top three cited articles with 745, 596, and 549 citations. The top 100 articles were all in English and were published in 2020 and 2021. China was the most prolific country with 19 articles, followed by the United States with 15 articles and India with 10 articles. Conclusion: The current bibliometric analysis demonstrated the significant growth of the use of artificial intelligence for COVID-19. Using these results, research priorities are more clearly defined, and researchers can focus on hot topics.

The silent crisis of child abuse in the COVID-19 pandemic: A scoping review.

Background and Aims: The global outbreak of COVID-19 has become an international concern. The lives of children are severely affected by COVID-19 pandemic. There is evidence of a pandemic impact on violence against children. This scoping review study aimed to investigate the effects of the COVID-19 pandemic on child abuse. Methods: We searched PubMed, Scopus, and Web of Science databases to retrieve related studies. Regarding the recent incident of COVID-19, the articles were reviewed from 2019 to June 1, 2021. The terms Child abuse and COVID-19 were used in the precise search technique of each database. The search techniques were created to work with any scientific database that used the keywords given. Results: In the initial search of scientific databases, 568 articles were retrieved. After applying the inclusion and exclusion criteria during the screening process, 16 papers were included in the scoping review. Twelve articles have mentioned the increase of physical, psychological, and neglect types of abuse. However, sexual violence has not been reported in any of the articles. Four articles reported a reduction in the incidence of child abuse. Conclusion: During the COVID-19 pandemic, a crisis occurred in the form of an upsurge in violence toward children, since limits made to diminish the virus, in general, increased the danger to children. Numerous factors such as stress, poverty, financial situation, history of violence, school closures, and lack of contact with support organizations contribute to this phenomenon. Social action and support needed is the right of every child in need in this critical situation.

Global perspective on pediatric growth hormone registries: a systematic review.

BACKGROUND: Registries are considered valuable data sources for identification of pediatric conditions treated with growth hormone (GH), and their follow-up. Currently, there is no systematic literature review on the scope and characteristics of pediatric GH registries. Therefore, the purpose of this systematic review is to identify worldwide registries reported on pediatric GH treatment and to provide a summary of their main characteristics. CONTENT: Pediatric GH registries were identified through a systematic literature review. The search was performed on all related literature published up to January 30th, 2021. Basic information on pediatric GH registries, their type and scope, purpose, sources of data, target conditions, reported outcomes, and important variables were analyzed and presented. SUMMARY: Twenty two articles, reporting on 20 pediatric GH registries, were included in this review. Industrial funding was the most common funding source. The main target conditions included in the pediatric GH registries were: growth hormone deficiency, Turner syndrome, Prader Willi syndrome, small for gestational age, idiopathic short stature, and chronic renal insufficiency. The main objectives in establishing and running pediatric GH registries were assessing the safety and effectiveness of the treatment, describing the epidemiological aspects of target growth conditions and populations, serving public health surveillance, predicting and measuring treatment outcomes, exploring new and useful aspects of GH treatment, and improving the quality of patient care. OUTLOOK: This systematic review provides a global perspective on pediatric GH registries which can be used as a basis for the design and development of new GH registry systems at both national and international levels.

Development and validation of the Neonatal Abstinence Syndrome Minimum Data Set (NAS-MDS): a systematic review, focus group discussion, and Delphi technique.

OBJECTIVES: Neonatal abstinence syndrome (NAS) is a combination of symptoms in infants exposed to any variety of substances in utero. Information systems and registries help to collect information about these patients; however, there is always a deep gap between complete and accurate information to be collected, understood, and applied in the health care system; thus, defining a minimum data sets (MDS) as one of the primarily steps of designing a registry system is essential. The aim of this study was to develop an MDS of the registry for infants with NAS in Iran. METHODS: This research is a descriptive cross-sectional study. In this study, three steps were carried out to develop the MDS including systematic review, Delphi technique, and focus group discussion. A systematic review was conducted in relevant databases to identify appropriate related data. In the second phase, a focus group discussion was used to classify the extracted data elements by contributing neonatologists. Finally, data elements were chosen through the decision Delphi technique in two distinct rounds. Collected data were analyzed using SPSS 22 (SPSS Inc., Chicago, IL). RESULTS: By reviewing related papers and available NAS registries in other countries, 145 essential data elements were identified. They were classified into two main categories based on the eight experts' opinions including maternal with two sections and infant with two sections. After applying two rounds of Delphi technique, the final data elements for maternal and infant categories were 42 and 31, respectively. Thus, on completion of the survey, 73 data elements were approved. CONCLUSION: The proposed MDS for NAS can help to store an accurate and comprehensive data, document medical records, integrate them with other information systems and registries, and communicate with other healthcare providers and healthcare centers. This MDS can contribute to the provision of high-quality care and better clinical decisions.

Neonatal abstinence syndrome: a systematic review of current databases and registries.

OBJECTIVES: Registries are considered as rich sources of data for determination of infants with neonatal abstinence syndrome (NAS), the improvement of provided care and research. The aims of this study were: (1) to investigate the existing studies including NAS registries, (2) to identify and extract the required data elements. METHODS: The following electronic databases were searched: PubMed, Scopus, Web of Science, ProQuest, Embase/Medline, and Psych Info. In addition, a review of gray literature was undertaken to identify relevant studies in English covering the period from 1 January 2009 to 1 November 2018 including registries and databases. Screening of titles, abstracts, and full-texts were conducted independently by two researchers based on PRISMA guidelines. The basic registry information, scope, registry type, data source, the purpose of registry, important variables were extracted and analyzed. RESULTS: Twenty-five articles were eligible and included in the review; they reported 37 registries and databases related to NAS at the national and state levels in 11 countries from 1876 to 2013. We proposed a NAS registry design framework based on well-known data-information-knowledge (DIK) structure due to Ackoff's DIK hierarchy has a defined role as a central model of information systems, information management, and knowledge management. CONCLUSIONS: To the best of our knowledge, this is the first study which has systematically reviewed NAS-related registries. Since there are no international standards to develop new NAS registries, the proposed framework in this article can be beneficial. This framework is essential not only to facilitate the NAS registry design but also to help the collection of high-value clinical data necessary for the acquisition of better clinical knowledge.

Robotic surgery of head and neck cancers, a narrative review.

Head and neck cancers are the most common cancers in the body. Treatments are determined on the basis of the location and stage of the primary tumor. The goal of treatment is to eliminate the tumor, prevent recurrence or metastasis, and maintain the quality of life. There are several treatments available for the management of head and neck cancers, including surgery, radiation therapy, chemotherapy, new molecular agents, and a combination of them. Transoral robotic technique is a short-time operation using a type of robotic machine in which the patient undergoes anesthesia for a shorter time and the side effects of this operation and the time of hospitalization are less than open surgery. Due to the importance of speed and accuracy in head and neck cancer surgery and the importance of application of robotics in surgery, the present study was designed and implemented to review the application of robotics in the management of head and neck cancers. In this review study, the keywords: application, robotic, surgical, head cancer, transoral robotic surgery (TORS), and neck cancer, were searched in ISI, PubMed, Scopus, Google scholar databases. Related articles written domestically or abroad that have covered areas such as the background of transoral robotic surgery, maintaining organ function and approaches, the advantages and disadvantages of TORS, the affordability of TORS, the combination of TORS with other therapeutic approaches published from 2003 to 2019 were reviewed. The use of robotic surgery for precise operations such as head and neck cancers seems to be essential. More advanced robotic devices are expected to expand the surgery treatment for head and neck cancers as well as the results of using TORS for oncologic optimization and acceptability of results while maintaining organ function and patient's quality of life.

Application and evaluation of virtual technologies for anatomy education to medical students: A review.

To learn anatomy, medical students need to look at body structures and manipulate anatomical structures. Simulation-based education is a promising opportunity for the upgrade and sharing of knowledge. The purpose of this review is to investigate the evaluation of virtual technologies in teaching anatomy to medical students. METHODS: In this review, we searched PubMed, Web of Sciences, Scopus, and Embase for relevant articles in November 2018. Information retrieval was done without time limitation. The search was based on the following keywords: virtual reality, medical education, and anatomy. RESULTS: 2483 articles were identified by searching databases. Finally, the fulltext of 12 articles was reviewed. The results of the review showed that virtual technologies had been used to train internal human anatomy, ear anatomy, nose anatomy, temporal bone anatomy, surgical anatomy, neuroanatomy, and cardiac anatomy. CONCLUSION: Virtual reality, augmented reality, and games can enhance students' anatomical learning skills and are proper alternatives to traditional methods in case of no access to the cadavers and mannequin.

Better monitoring of abused children by designing a child abuse surveillance system: Determining national child abuse minimum data set.

BACKGROUND: Monitoring the trend of child abuse can significantly help in measuring the magnitude of the problem and understanding its recurrence. The minimum data set (MDS) is a set of elements of each domain that provides the basis for decision-making. This study was conducted to determine the comprehensive national minimum data set for child abuse surveillance system (CASS) in Iran. METHODS: This is a cross-sectional descriptive study. Data were gathered from the selected countries and child abuse registry and surveillance systems. The MDS questionnaire was designed based on a review of the publications and experts' opinions. The final data elements of the CASS were determined using the Delphi technique by visiting pediatricians. RESULTS: In total, 147 data elements were included in the Delphi survey. The data elements of the CASS were classified into seven categories as follows: demographic data, incident related data, medical history, diagnostic tests, incident nature, therapeutic measures, and other required data. CONCLUSION: The existence of national MDS as the core of the child abuse surveillance program is essential and leads to appropriate decisions in this regard. The MDS can meet the needs of professionals, decision makers, researchers, and policymakers who decide on reducing the incidence of child abuse.

Design of Infertility Monitoring System: Minimum Data Set Approach.

Reproductive health is vital for human and infertility is also one of the most important challenges in the reproductive system. Infertility is one of the most common chronic health disorders, regardless of age. The Minimum Data Set (MDS) helps to manage infertility by monitoring and evaluating infertility interventions based on collecting data. The development of MDS is an essential objective in order to implement an infertility monitoring system for the creation of standardized and effective data management through the provision of comprehensive and identical data elements for infertility. This is a descriptive cross-sectional study conducted in 2017. The data has been collected from infertility clinics in the world, as well as WHO, CDC, ASRM, and ESHRE reports. In order to decide on data elements, the Delphi technique was used using a questionnaire that contained data elements which were distributed among 12 experts including one reproductive endocrinology and infertility fellow, six obstetrician-gynecologists, two reproductive biologists, two urologists and one community medicine specialist using the 5 point Likert scale. The questionnaire was divided into two categories: managerial and clinical, each with 4 sections, and 60 and 940 data elements, respectively. MDS is an essential tool for evaluating the infertility process. Using this tool will provide an opportunity to develop a set of quality care criteria that can be used to ensure the quality of infertility care.

Health need assessment in female adolescents, in Qom: A cross sectional study.

BACKGROUND AND OBJECTIVE: Due to the young population of Iran, a significant number of teenagers in our country and the importance of the health of adolescents, especially teenage girls who are the mothers and the future-makers of the society, we designed this study to determine the health needs of adolescent girls living in the city of Qom. METHODOLOGY: In this descriptive cross-sectional study, the research population included 853 student girls in the middle and high secondary grades in the city of Qom selected and participated in the study through a randomized multistage cluster sampling method. Data were collected by completing the demographic information questionnaire, and the adolescent girls' health needs questionnaire. Data gathered were analyzed using SPSS software version 19 using the descriptive and inferential statistics. RESULTS: The study results showed that the scores of the adolescent girls' needs in health-related areas are as follows: health: 65.33 ± 22.08, nutrition: 52.81 ± 25.40, exercise and physical activity: 50.10 ± 30.55, social justice: 53.95 ± 23.82, counseling: 49.55 ± 34.97, school status: 52.69 ± 28.01, relationship with parents: 55.10 ± 27.44, social support: 50.64 ± 30.52, education: 51.88 ± 29.61, religious beliefs, and spirituality: 66.88 ± 20.87. CONCLUSION: Based on the results of this study, the adolescent girls have a lot of perceived needs in various areas of health, including psychological-emotional, social, physical, educational, and beliefs areas, which have not been met. Therefore, it is recommended to plan and carry out the necessary measures to meet the needs of adolescents with their participation and relevant authorities.