The Role of Artificial Intelligence in Medical Education: A Systematic Review

Basit Öğe Kaydı
dc.authoridSoytürk, Selim/0009-0007-7237-0966
dc.authoridtozsin, atinc/0000-0002-9926-6890
dc.authoridGozen, Ali/0000-0002-9975-443X
dc.authoridGuven, Selcuk/0000-0002-5009-8435
dc.authoridUcmak, Harun/0000-0003-1128-6799
dc.authoridAhmed, Kamran/0000-0002-5135-9211
dc.authorwosidSoytürk, Selim/JDV-7219-2023
dc.contributor.authorTozsin, Atinc
dc.contributor.authorUcmak, Harun
dc.contributor.authorSoyturk, Selim
dc.contributor.authorAydin, Abdullatif
dc.contributor.authorGozen, Ali Serdar
dc.contributor.authorAl Fahim, Maha
dc.contributor.authorGuven, Selcuk
dc.date.accessioned2024-06-12T10:52:34Z
dc.date.available2024-06-12T10:52:34Z
dc.date.issued2024
dc.departmentTrakya Üniversitesien_US
dc.description.abstractBackground To examine the artificial intelligence (AI) tools currently being studied in modern medical education, and critically evaluate the level of validation and the quality of evidence presented in each individual study.Methods This review (PROSPERO ID: CRD42023410752) was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. A database search was conducted using PubMed, Embase, and Cochrane Library. Articles written in the English language between 2000 and March 2023 were reviewed retrospectively using the MeSH Terms AI and medical education A total of 4642 potentially relevant studies were found.Results After a thorough screening process, 36 studies were included in the final analysis. These studies consisted of 26 quantitative studies and 10 studies investigated the development and validation of AI tools. When examining the results of studies in which Support vector machines (SVMs) were employed, it has demonstrated high accuracy in assessing students' experiences, diagnosing acute abdominal pain, classifying skilled and novice participants, and evaluating surgical training levels. Particularly in the comparison of surgical skill levels, it has achieved an accuracy rate of over 92%.Conclusion AI tools demonstrated effectiveness in improving practical skills, diagnosing diseases, and evaluating student performance. However, further research with rigorous validation is required to identify the most effective AI tools for medical education.en_US
dc.identifier.doi10.1177/15533506241248239
dc.identifier.issn1553-3506
dc.identifier.issn1553-3514
dc.identifier.pmid38632898en_US
dc.identifier.scopus2-s2.0-85190830078en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.urihttps://doi.org/10.1177/15533506241248239
dc.identifier.urihttps://hdl.handle.net/20.500.14551/18762
dc.identifier.wosWOS:001204875400001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherSage Publications Incen_US
dc.relation.ispartofSurgical Innovationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectDeep Learningen_US
dc.subjectMachine Learningen_US
dc.subjectMedical Educationen_US
dc.titleThe Role of Artificial Intelligence in Medical Education: A Systematic Reviewen_US
dc.typeReview Articleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu

Kişisel bilgilerinizi şu amaçlarla toplar ve işleriz: Kimlik Doğrulama, Tercihler, Onay ve İstatistikler.
Daha fazla bilgi edinmek için lütfen gizlilik politikası sayfamızı okuyun.

Özelleştirme