ArticleJournal of education and health promotion2025
Future-ready medicine: Assessing the need for A.I. education in Indian undergraduate medical curriculum: A mixed method survey of student perspectives.
Article in Journal of education and health promotion, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Impact of generative AI in medical education in India: a systematic review.Frontiers in artificial intelligence · 2025Pooled it
- Generative AI and knowledge management in health education: a cross-sectional study of students' digital literacy and attitudes from a developing-country context.BMC medical education · 2026Article
- Understanding AI adoption in medical education: Insights from students and faculty members in Indonesian medical schools.Journal of education and health promotion · 2026Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe medical community increasingly acknowledges the necessity for undergraduate medical curricula to formally incorporate Artificial Intelligence (A.I.) into the training of medical students to equip them with the essential skills. By the time Indian medical students complete their postgraduate training, which could span nearly a decade, A.I. tools will become more common place in clinical decision-making workflows. Despite the global trend towards emphasizing A.I. education in healthcare, Indian medical institutes lack mandates from higher authorities to incorporate A.I. into their curricula. Our study aims to assess the student's perspective regarding need for A.I. Education in Indian undergraduate medical curriculum (IUMC) and the educational needs of medical students, which may facilitate the development of a curriculum that prepares them for the challenges and opportunities presented by A.I. in medicine. MATERIALS AND
methodsA cross sectional study was conducted at A.I.I.M.S, Nagpur. An exploratory survey was conducted on M.B.B.S. students from the 2019 batch to the 2023 batch using Google Forms. Data was analyzed using the Jamovi open statistical software solid version 2.3.28 (released 2024).
resultThe survey was completed by 219 medical students. In total, 91.2% had no prior training in A.I. education, 87.1% of students hold positive views on incorporating A.I. education into the IMUC, and 80% believe that A.I. training should be experiential. No Gender difference was found between male and female students regarding perceived interest in A.I. education.
conclusionThe study highlights students' strong consensus on integrating A.I. into the IMUC, including hands-on practical applications, to enhance diagnostic skills. Medical schools should provide early exposure to A.I. Gender-neutral, experiential learning should be emphasized to meet the demands of current and future students.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.