ArticleJournal of medical education and curricular development
Malaysian Medical Students' Attitudes and Readiness Toward AI (Artificial Intelligence): A Cross-Sectional Study.
Article in Journal of medical education and curricular development. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.
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Who cites it
49 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Medical Students' Attitudes, Perceptions, and Self-Reported Familiarity With AI in Health Care: Systematic Review and Meta-Analysis.JMIR medical education · 2026Pooled it
- Is it time to introduce an artificial intelligence curriculum in undergraduate medical education? medical students' perspectives: a systematic review and meta-analysis.BMC medical education · 2026Pooled it
- Medical undergraduate students' readiness and anxiety toward artificial intelligence: a systematic review and meta-analysis.BMC medical education · 2025Pooled it
- Article
- Determinants of medical students' attitudes toward artificial intelligence: a cross-sectional study and implications for medical education.BMC medical education · 2026Article
- Personality traits, technology affinity, and artificial intelligence readiness in medical students: a multinational cross-sectional study.BMC medical education · 2026Article
- The readiness-anxiety paradox in artificial intelligence adoption among nursing students: a multidimensional regression analysis.BMC medical education · 2026Article
- Knowledge, Attitude, and Perception of Medical Students Toward AI-Based Learning: A Cross-Sectional Study.Public health challenges · 2026Article
- Artificial intelligence literacy and readiness in future health care professionals: a cross-sectional study.Croatian medical journal · 2026Article
- Article
- Assessing the level of readiness for digital transformation in medicine: students' perspectives on the use of artificial intelligence in health : a cross-sectional study.BMC medical education · 2026Article
- Health sciences students' attitudes toward artificial intelligence: predictors of ethical awareness, clinical decision-making, and public health perceptions-a cross-sectional study.BMC medical education · 2026Article
- Attitudes and readiness of nursing students practising in surgical units towards artificial intelligence: a cross-sectional study.BMC medical education · 2026Article
- Medical Students' Perceptions and Attitude Toward the Use of Artificial Intelligence in Healthcare.Advances in medical education and practice · 2026Article
- Artificial intelligence readiness and its association with artificial intelligence literacy among Chinese medical students: a latent profile analysis.Frontiers in public health · 2026Article
- Artificial Intelligence Readiness Among Young Family Doctors in Europe.Annals of family medicine · 2025Article
- Artificial intelligence in undergraduate medical education: an updated scoping review.BMC medical education · 2025Article
- Knowledge, attitude and practice of artificial intelligence among dietitians in Saudi Arabia: a cross-sectional study.BMJ open · 2025Article
- Translation and psychometric validation of the Medical Artificial Intelligence Readiness Scale (MAIRS-MS) for Chinese medical students.BMC nursing · 2025Article
- Perception of Medical Undergraduates on Artificial Intelligence in Medical Education: Qualitative Exploration.JMIR medical education · 2025Article
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2 authors.
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Abstract
objectivesThe Malaysian health ministry has started introducing artificial intelligence (AI) technology to aid local healthcare delivery. This study aims to survey Malaysian medical students' attitudes toward AI and evaluate their readiness to work with medical AI technology.
methodsAn online questionnaire on Google Forms was distributed to all 31 medical schools in Malaysia. The questionnaire consists of 3 sections: the first part surveyed the participants' demographics, the second assessed the participants' attitudes toward AI, and the final part utilizes the Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) scale to evaluate their AI readiness.
resultsThree hundred and one students from 17 universities in Malaysia responded to the questionnaire. 87.36% of students agreed that AI will play an essential role in healthcare; 32.55% of students were less likely to consider a career in radiology due to the advancement of AI. The majority of students (71%) felt that teaching in AI will benefit their careers, while 69.44% agreed that all students should receive teaching in AI. Around 44.5% of students felt that they will possess the knowledge required to work with AI upon graduation. On the MAIRS-MS scale, students had a mean score of 21 of 40 for the cognitive factor, 25 of 40 for the ability factor, 10 of 15 for the vision factor, and 11 of 15 for the ethics factor. Overall, Malaysian students had a mean total score of 67±14.8 out of 110.
conclusionMalaysian medical students have demonstrated awareness of AI and a willingness to learn more about it. More work needs to be done to improve students' AI readiness, particularly their knowledge and application of AI technology. Malaysian universities should start to work on incorporating AI teaching into their curricula.
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