Publication:
Artificial intelligence in medical education: A cross-sectional needs assessment

dc.contributor.authorCivaner, M. Murat
dc.contributor.authorUncu, Yeşim
dc.contributor.authorBulut, Filiz
dc.contributor.authorChalil, Esra Giounous
dc.contributor.authorTatlı, Abdulhamit
dc.contributor.buuauthorCİVANER, MUSTAFA MURAT
dc.contributor.buuauthorUNCU, YEŞİM
dc.contributor.buuauthorBulut, Filiz
dc.contributor.buuauthorChalil, Esra Giounous
dc.contributor.buuauthorTatlı, Abdulhamit
dc.contributor.departmentBursa Uludağ Üniversitesi/Tıp Fakültesi/Tıp Etiği Anabilim Dalı
dc.contributor.departmentBursa Uludağ Üniversitesi/Tıp Fakültesi/Aile Hekimliği Anabilim Dalı
dc.contributor.departmentBursa Uludağ Üniversitesi/Sağlık Bilimleri Enstitüsü
dc.contributor.departmentBursa Uludağ Üniversitesi/Tıp Fakültesi
dc.contributor.orcid0000-0001-5376-3499
dc.contributor.orcid0000-0001-5376-3499
dc.contributor.researcheridS-4188-2019
dc.contributor.researcheridCDG-7200-2022
dc.contributor.researcheridJSP-5105-2023
dc.contributor.researcheridHGL-1599-2022
dc.contributor.researcheridHGN-1277-2022
dc.date.accessioned2024-09-26T06:29:21Z
dc.date.available2024-09-26T06:29:21Z
dc.date.issued2022-11-09
dc.description.abstractBackground As the information age wanes, enabling the prevalence of the artificial intelligence age; expectations, responsibilities, and job definitions need to be redefined for those who provide services in healthcare. This study examined the perceptions of future physicians on the possible influences of artificial intelligence on medicine, and to determine the needs that might be helpful for curriculum restructuring. Methods A cross-sectional multi-centre study was conducted among medical students country-wide, where 3018 medical students participated. The instrument of the study was an online survey that was designed and distributed via a web-based service. Results Most of the medical students perceived artificial intelligence as an assistive technology that could facilitate physicians' access to information (85.8%) and patients to healthcare (76.7%), and reduce errors (70.5%). However, half of the participants were worried about the possible reduction in the services of physicians, which could lead to unemployment (44.9%). Furthermore, it was agreed that using artificial intelligence in medicine could devalue the medical profession (58.6%), damage trust (45.5%), and negatively affect patient-physician relationships (42.7%). Moreover, nearly half of the participants affirmed that they could protect their professional confidentiality when using artificial intelligence applications (44.7%); whereas, 16.1% argued that artificial intelligence in medicine might cause violations of professional confidentiality. Of all the participants, only 6.0% stated that they were competent enough to inform patients about the features and risks of artificial intelligence. They further expressed that their educational gaps regarding their need for "knowledge and skills related to artificial intelligence applications" (96.2%), "applications for reducing medical errors" (95.8%), and "training to prevent and solve ethical problems that might arise as a result of using artificial intelligence applications" (93.8%). Conclusions The participants expressed a need for an update on the medical curriculum, according to necessities in transforming healthcare driven by artificial intelligence. The update should revolve around equipping future physicians with the knowledge and skills to effectively use artificial intelligence applications and ensure that professional values and rights are protected.
dc.identifier.doi10.1186/s12909-022-03852-3
dc.identifier.issue1
dc.identifier.urihttps://doi.org/10.1186/s12909-022-03852-3
dc.identifier.urihttps://bmcmededuc.biomedcentral.com/articles/10.1186/s12909-022-03852-3
dc.identifier.urihttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646274/
dc.identifier.urihttps://hdl.handle.net/11452/45274
dc.identifier.volume22
dc.identifier.wos000885024500004
dc.indexed.wosWOS.SCI
dc.indexed.wosWOS.SSCI
dc.language.isoen
dc.publisherBMC
dc.relation.journalBMC Medical Education
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectArtificial intelligence
dc.subjectHealthcare
dc.subjectMedical curriculum
dc.subjectMedical ethics
dc.subjectMedical students
dc.subjectMedicine
dc.subjectSocial sciences
dc.subjectEducation & educational research
dc.subjectEducation, scientific disciplines
dc.titleArtificial intelligence in medical education: A cross-sectional needs assessment
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication7894a500-685c-4c8d-8063-4afb6b0c96bc
relation.isAuthorOfPublication37d89fda-6c98-4028-b8d7-2a2ea801ba8d
relation.isAuthorOfPublication.latestForDiscovery7894a500-685c-4c8d-8063-4afb6b0c96bc

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