Artificial intelligence (AI) integration in medical education: A pan-India cross-sectional observation of acceptance and understanding among students
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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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Several studies pointed to the infrastructure, financial resources, and investments necessary to implement AI-driven education methods, as the costs of servers, faculty training, tool development, and technical personnel could be substantial.
“Finally, several studies pointed to the infrastructure, financial resources, and investments necessary to implement AI-driven education methods [9, 50, 181], as the costs of servers, faculty training, tool development, and technical personnel could be substantial [182–184].”
From Artificial intelligence in undergraduate medical education: an updated scoping review (2025) · cites this paper as [183]
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Experimental — accuracy not yet measuredSeveral ethical concerns regarding the use of AI in UGME are described, including algorithmic bias and safeguarding the privacy of students and patients.
“Several ethical concerns regarding the use of AI in UGME are described [183]. There are concerns related to algorithmic bias [159] and safeguarding the privacy of students and patients [185, 186].”
From Artificial intelligence in undergraduate medical education: an updated scoping review (2025) · cites this paper as [183]
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References 20 · Cited by 27
- Authors
- Sharma, V., Saini, U., Pareek, V., Sharma, L., & Kumar, S.
- Affiliations
- Rajasthan University of Health Sciences (IN)
- Venue
- Scripta Medica
- Published
- 2023
- Volume
- 54
- Issue
- 4
- Pages
- 343-352
- ISSN
- 0350-8218 (ISSN-L)
- 2490-3329
- 2303-7954
- OpenAlex
- W4390422342
- Cited by
- 27
- References
- 20
- Citations by year
- 2026: 12 · 2025: 12 · 2024: 3
- FWCI
- 1.12
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Scripta Medica (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Keywords
- artificial intelligence in healthcare, medical education, medical students, AI awareness, student attitudes toward AI, AI integration in curriculum, overreliance on AI, empathy in patient care, faculty training, India
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