ArticleFrontiers in artificial intelligence2022
Knowledge and attitudes of medical students in Lebanon toward artificial intelligence: A national survey study.
Article in Frontiers in artificial intelligence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 3 of them syntheses that pooled it.
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Who cites it
40 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, dental, and nursing students' attitudes and knowledge towards artificial intelligence: a systematic review and meta-analysis.BMC medical education · 2024Pooled it
- Self-Reported Knowledge, Attitudes, Perceptions, and Readiness Regarding AI Among Obstetrics and Gynecology Trainees: Cross-Sectional Study.JMIR formative research · 2026Article
- Knowledge, attitudes, practices and ethics related to artificial intelligence among nursing students: a national cross-sectional survey in China.BMC nursing · 2026Article
- Knowledge, Attitude, and Perception of Medical Students Toward AI-Based Learning: A Cross-Sectional Study.Public health challenges · 2026Article
- ChatGPT as a tool for reviewing multiple-choice questions in the health sector.Scientific reports · 2026Article
- Knowledge, perception, and attitude of healthcare students towards artificial intelligence: a multi-center cross sectional study.BMC medical education · 2026Article
- Exploring health care learners' perceptions of AI integration in the curriculum: a survey tool and findings.BMC medical education · 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
- AI Literacy Among Chinese Medical Students: Cross-Sectional Examination of Individual and Environmental Factors.JMIR medical education · 2026Article
- A double-edged impact of AI literacy on consumers' willingness to use AI-powered products: a parallel mediation model of perceived AI risk and perceived social good.Frontiers in psychology · 2026Article
- Article
- Will artificial intelligence change medical life? Bridging the gap between innovation and medical student adoption: a cross-sectional study among university medical students.Frontiers in medicine · 2026Article
- Medical students' perception of AI's role in radiology before and after an AI-focused educational panel: a paired pre-post design.BMC medical education · 2025Article
- Human-in-the-Loop Performance of LLM-Assisted Arterial Blood Gas Interpretation: A Single-Center Retrospective Study.Journal of clinical medicine · 2025Article
- Perceived artificial intelligence readiness in medical and health sciences education: a survey study of students in Saudi Arabia.BMC medical education · 2025Article
- Knowledge, attitudes, and practices toward AI technology (ChatGPT) among nursing students at Palestinian universities.BMC nursing · 2025Article
- Review
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4 authors.
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Abstract
Purpose: This study assesses the knowledge and attitudes of medical students in Lebanon toward Artificial Intelligence (AI) in medical education. It also explores the students' perspectives regarding the role of AI in medical education as a subject in the curriculum and a teaching tool. Methods: This is a cross-sectional study using an online survey consisting of close-ended questions. The survey targets medical students at all medical levels across the 7 medical schools in Lebanon. Results: A total of 206 medical students responded. When assessing AI knowledge sources (81.1%) got their information from the media as compared to (9.7%) from medical school curriculum. However, Students who learned the basics of AI as part of the medical school curriculum were more knowledge about AI than their peers who did not. Students in their clinical years appear to be more knowledgeable about AI in medicine. The advancements in AI affected the choice of specialty of around a quarter of the students (26.8%). Finally, only a quarter of students (26.5%) want to be assessed by AI, even though the majority (57.7%) reported that assessment by AI is more objective. Conclusions: Education about AI should be incorporated in the medical school curriculum to improve the knowledge and attitudes of medical students. Improving AI knowledge in medical students will in turn increase acceptance of AI as a tool in medical education, thus unlocking its potential in revolutionizing medical education.
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