Artificial intelligence (AI) integration in medical education: A pan-India cross-sectional observation of acceptance and understanding among students

Background/Aim: From accurate diagnostics to personalised treatment plans, artificial intelligence (AI) has the potential to revolutionise healthcare. The abundance of medical data has led to AI being employed for accurate diagnoses, treatment protocols and patient care. Students' perception of...

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Main Authors: Sharma Vipul, Saini Uddhave, Pareek Varun, Sharma Lokendra, Kumar Susheel
Format: Article
Language:English
Published: Medical Society of the Republic of Srpska, Banja Luka, University of Banja Luka. Faculty of Medicine 2023-01-01
Series:Scripta Medica
Subjects:
Online Access:https://scindeks-clanci.ceon.rs/data/pdf/2490-3329/2023/2490-33292304343S.pdf
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author Sharma Vipul
Saini Uddhave
Pareek Varun
Sharma Lokendra
Kumar Susheel
author_facet Sharma Vipul
Saini Uddhave
Pareek Varun
Sharma Lokendra
Kumar Susheel
author_sort Sharma Vipul
collection DOAJ
description Background/Aim: From accurate diagnostics to personalised treatment plans, artificial intelligence (AI) has the potential to revolutionise healthcare. The abundance of medical data has led to AI being employed for accurate diagnoses, treatment protocols and patient care. Students' perception of AI integration in medical education is crucial for its successful implementation. This study aimed to assess the acceptance and understanding of AI integration among students in medical education across different regions of India through a cross-sectional observation. Methods: A pan-India survey was conducted among medical students between 1 August 2023 to 20 August 2023 with a pre-validated questionnaire covering AI awareness and understanding through Google Form, circulated via WhatsApp. Results: A total of 730 medical students completed the survey of which 58.6 % were males and 41.4 % were females. Most students (80.7 %) knew about AI, but 53.6 % had limited awareness of AI in medicine. Opinions on AI integration was diverse, with 46.8 % in favour. Workshops (45.2 %) and lectures (31.1 %) were preferred learning formats. Students were interested in various AI topics and expect AI to positively impact medicine (45.9 %). Radiology, surgery and general medicine were predicted to be most influenced by AI. Concerns about overreliance on AI (49.2 %) and lack of empathy (43.7 %) were highlighted. Conclusions: Medical students in India display a keen interest in AI and its integration into medical education. To fully harness AI's potential in healthcare, comprehensive AI curricula and faculty training are needed. Students are aware of the challenges and opportunities, emphasising the importance of balanced AI adoption in medical practice and education.
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spelling doaj.art-2527338c2b2b4a829c783568e96d613a2024-01-03T21:38:03ZengMedical Society of the Republic of Srpska, Banja Luka, University of Banja Luka. Faculty of MedicineScripta Medica2490-33292303-79542023-01-0154434335210.5937/scriptamed54-462672490-33292304343SArtificial intelligence (AI) integration in medical education: A pan-India cross-sectional observation of acceptance and understanding among studentsSharma Vipul0Saini Uddhave1Pareek Varun2Sharma Lokendra3Kumar Susheel4Rajasthan University of Health Sciences (RUHS) College of Medical Sciences, Jaipur, IndiaRajasthan University of Health Sciences (RUHS) College of Medical Sciences, Jaipur, IndiaRUHS College of Medical Sciences, Department of Pharmacology, Jaipur, IndiaRUHS College of Medical Sciences, Department of Pharmacology, Jaipur, IndiaRUHS College of Medical Sciences, Department of Pharmacology, Jaipur, IndiaBackground/Aim: From accurate diagnostics to personalised treatment plans, artificial intelligence (AI) has the potential to revolutionise healthcare. The abundance of medical data has led to AI being employed for accurate diagnoses, treatment protocols and patient care. Students' perception of AI integration in medical education is crucial for its successful implementation. This study aimed to assess the acceptance and understanding of AI integration among students in medical education across different regions of India through a cross-sectional observation. Methods: A pan-India survey was conducted among medical students between 1 August 2023 to 20 August 2023 with a pre-validated questionnaire covering AI awareness and understanding through Google Form, circulated via WhatsApp. Results: A total of 730 medical students completed the survey of which 58.6 % were males and 41.4 % were females. Most students (80.7 %) knew about AI, but 53.6 % had limited awareness of AI in medicine. Opinions on AI integration was diverse, with 46.8 % in favour. Workshops (45.2 %) and lectures (31.1 %) were preferred learning formats. Students were interested in various AI topics and expect AI to positively impact medicine (45.9 %). Radiology, surgery and general medicine were predicted to be most influenced by AI. Concerns about overreliance on AI (49.2 %) and lack of empathy (43.7 %) were highlighted. Conclusions: Medical students in India display a keen interest in AI and its integration into medical education. To fully harness AI's potential in healthcare, comprehensive AI curricula and faculty training are needed. Students are aware of the challenges and opportunities, emphasising the importance of balanced AI adoption in medical practice and education.https://scindeks-clanci.ceon.rs/data/pdf/2490-3329/2023/2490-33292304343S.pdfartificial intelligencemedical educationsurveypan-indiamedical studentsacceptance
spellingShingle Sharma Vipul
Saini Uddhave
Pareek Varun
Sharma Lokendra
Kumar Susheel
Artificial intelligence (AI) integration in medical education: A pan-India cross-sectional observation of acceptance and understanding among students
Scripta Medica
artificial intelligence
medical education
survey
pan-india
medical students
acceptance
title Artificial intelligence (AI) integration in medical education: A pan-India cross-sectional observation of acceptance and understanding among students
title_full Artificial intelligence (AI) integration in medical education: A pan-India cross-sectional observation of acceptance and understanding among students
title_fullStr Artificial intelligence (AI) integration in medical education: A pan-India cross-sectional observation of acceptance and understanding among students
title_full_unstemmed Artificial intelligence (AI) integration in medical education: A pan-India cross-sectional observation of acceptance and understanding among students
title_short Artificial intelligence (AI) integration in medical education: A pan-India cross-sectional observation of acceptance and understanding among students
title_sort artificial intelligence ai integration in medical education a pan india cross sectional observation of acceptance and understanding among students
topic artificial intelligence
medical education
survey
pan-india
medical students
acceptance
url https://scindeks-clanci.ceon.rs/data/pdf/2490-3329/2023/2490-33292304343S.pdf
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