Bisdas, Sotirios, Topriceanu, Constantin-Cristian, Zakrzewska, Zosia, Irimia, Alexandra-Valentina, Shakallis, Loizos, Subhash, Jithu, Casapu, Maria-Madalina, Leon-Rojas, Jose, Pinto dos Santos, Daniel, Andrews, Dilys Miriam, Zeicu, Claudia, Bouhuwaish, Ahmad Mohammad, Lestari, Avinindita Nura, Abu-Ismail, Lua'i, Sadiq, Arsal Subbah, Khamees, Almu'atasim ORCID: 0000-0002-6282-8351, Mohammed, Khaled M. G., Williams, Estelle, Omran, Aya Ibrahim, Ismail, Dima Y. Abu and Ebrahim, Esraa Hasan (2021). Artificial Intelligence in Medicine: A Multinational Multi-Center Survey on the Medical and Dental Students' Perception. Front. Public Health, 9. LAUSANNE: FRONTIERS MEDIA SA. ISSN 2296-2565

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Abstract

Background: The emerging field of artificial intelligence (AI) will probably affect the practice for the next generation of doctors. However, the students' views on AI have not been largely investigated.Methods: An anonymous electronic survey on AI was designed for medical and dental students to explore: (1) sources of information about AI, (2) AI applications and concerns, (3) AI status as a topic in medicine, and (4) students' feelings and attitudes. The questionnaire was advertised on social media platforms in 2020. Security measures were employed to prevent fraudulent responses. Mann-Whitney U-test was employed for all comparisons. A sensitivity analysis was also performed by binarizing responses to express disagreement and agreement using the Chi-squared test.Results: Three thousand one hundred thirty-three respondents from 63 countries from all continents were included. Most respondents reported having at least a moderate understanding of the technologies underpinning AI and of their current application, with higher agreement associated with being male (p < 0.0001), tech-savvy (p < 0.0001), pre-clinical student (p < 0.006), and from a developed country (p < 0.04). Students perceive AI as a partner rather than a competitor (72.2%) with a higher agreement for medical students (p = 0.002). The belief that AI will revolutionize medicine and dentistry (83.9%) with greater agreement for students from a developed country (p = 0.0004) was noted. Most students agree that the AI developments will make medicine and dentistry more exciting (69.9%), that AI shall be part of the medical training (85.6%) and they are eager to incorporate AI in their future practice (99%).Conclusion: Currently, AI is a hot topic in medicine and dentistry. Students have a basic understanding of AI principles, a positive attitude toward AI and would like to have it incorporated into their training.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Bisdas, SotiriosUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Topriceanu, Constantin-CristianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zakrzewska, ZosiaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Irimia, Alexandra-ValentinaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Shakallis, LoizosUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Subhash, JithuUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Casapu, Maria-MadalinaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Leon-Rojas, JoseUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pinto dos Santos, DanielUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Andrews, Dilys MiriamUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zeicu, ClaudiaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bouhuwaish, Ahmad MohammadUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lestari, Avinindita NuraUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Abu-Ismail, Lua'iUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Sadiq, Arsal SubbahUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Khamees, Almu'atasimUNSPECIFIEDorcid.org/0000-0002-6282-8351UNSPECIFIED
Mohammed, Khaled M. G.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Williams, EstelleUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Omran, Aya IbrahimUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ismail, Dima Y. AbuUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ebrahim, Esraa HasanUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-602958
DOI: 10.3389/fpubh.2021.795284
Journal or Publication Title: Front. Public Health
Volume: 9
Date: 2021
Publisher: FRONTIERS MEDIA SA
Place of Publication: LAUSANNE
ISSN: 2296-2565
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
FUTURE; MODELMultiple languages
Public, Environmental & Occupational HealthMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/60295

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