ArticleBMC medical education2024
Shaping the future: perspectives on the Integration of Artificial Intelligence in health profession education: a multi-country survey.
Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Artificial intelligence in health systems of the WHO European region: implementation, applications, opportunities, and barriers.International journal of medical informatics · 2026Article
- Artificial Intelligence in Social Health: A Narrative Review of Uses, Advantages, Challenges, and Future Directions.Healthcare (Basel, Switzerland) · 2026Review
- Adoption of artificial intelligence tools among pharmacy students in Syria: patterns of use, educational perceptions, and institutional barriers.BMC medical education · 2026Article
- Opportunities and Challenges of Generative AI in Postgraduate Health Professions Education Assessments From Educator and Learner Perspectives: Qualitative Study.JMIR formative research · 2026Article
- Faculty Perspectives on AI Integration in Anatomy Education in the United Arab Emirates: Cross-Sectional Survey.JMIR medical education · 2026Article
- The application of large language models in orthopedic postgraduate education: potentials, challenges, and future prospects.Journal of orthopaedic surgery and research · 2026Review
- Review
- Artificial Intelligence Integration in Radiation Therapy Education: A Multi-Modal Approach.Journal of medical radiation sciences · 2026Article
- AI in medical and dentistry education: perspectives from international students, educators and physicians.BMC medical education · 2026Article
- Use of ChatGPT in physical therapy education: Comparative study of usefulness to students and ease of use perceptions, and descriptions of usage patterns.Journal of Taibah University Medical Sciences · 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
- Applications, attitudes and ethical considerations of Generative Artificial Intelligence (Gen AI) in nursing education: a scoping review.BMC nursing · 2026Article
- Article
- Postgraduate nursing students' knowledge, attitudes, and practices regarding artificial intelligence: a qualitative study.BMC medical education · 2025Article
- Explanation and elaboration of MedinAI: guidelines for reporting artificial intelligence studies in medicines, pharmacotherapy, and pharmaceutical services.International journal of clinical pharmacy · 2025Article
- Integrating AI in medical education: a comprehensive study of medical students' attitudes, concerns, and behavioral intentions.BMC medical education · 2025Article
- Digital Health Education for Chronic Lung Disease: Scoping Review.Journal of medical Internet research · 2025Article
- Perceptions of mental health professionals towards artificial intelligence in mental healthcare: a cross-sectional study.Frontiers in psychiatry · 2025Article
- Article
- Preparing hospitals and health organizations for AI: practical guidelines for the required infrastructure.Frontiers in digital health · 2025Article
Corrections and comments
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Authors and funding
15 authors.
Funding
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Abstract
backgroundArtificial intelligence (AI) is transforming health profession education (HPE) through personalized learning technologies. HPE students must also learn about AI to understand its impact on healthcare delivery. We examined HPE students' AI-related knowledge and attitudes, and perceived challenges in integrating AI in HPE.
methodsThis cross-sectional included medical, nursing, physiotherapy, and clinical nutrition students from four public universities in Jordan, the Kingdom of Saudi Arabia (KSA), the United Arab Emirates (UAE), and Egypt. Data were collected between February and October 2023 via an online survey that covered five main domains: benefits of AI in healthcare, negative impact on patient trust, negative impact on the future of healthcare professionals, inclusion of AI in HPE curricula, and challenges hindering integration of AI in HPE.
resultsOf 642 participants, 66.4% reported low AI knowledge levels. The UAE had the largest proportion of students with low knowledge (72.7%). The majority (54.4%) of participants had learned about AI outside their curriculum, mainly through social media (66%). Overall, 51.2% expressed positive attitudes toward AI, with Egypt showing the largest proportion of positive attitudes (59.1%). Although most participants viewed AI in healthcare positively (91%), significant variations were observed in other domains. The majority (77.6%) supported integrating AI in HPE, especially in Egypt (82.3%). A perceived negative impact of AI on patient trust was expressed by 43.5% of participants, particularly in Egypt (54.7%). Only 18.1% of participants were concerned about the impact of AI on future healthcare professionals, with the largest proportion from Egypt (33.0%). Some participants (34.4%) perceived AI integration as challenging, notably in the UAE (47.6%). Common barriers included lack of expert training (53%), awareness (50%), and interest in AI (41%).
conclusionThis study clarified key considerations when integrating AI in HPE. Enhancing students' awareness and fostering innovation in an AI-driven medical landscape are crucial for effectively incorporating AI in HPE curricula.
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