ArticleFrontiers in medicine2025
Perceptions and future perspectives of medical students on the use of artificial intelligence based chatbots: an exploratory analysis.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline 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
- AI Integration in Spanish Undergraduate Medical Education: National Cross-Sectional Study.JMIR medical education · 2026Article
- Mixed-methods study on GenAI Usage, dependence behaviors, and standardized application paths among Chinese medical students.NPJ digital medicine · 2026Article
- The AI adoption paradox in Chinese medical education: a multi-institution cross-sectional study of usage patterns, critical literacy gaps, and adoption profiles among 3,194 undergraduate medical students.BMC medical education · 2026Article
- Adoption of generative AI chatbots among medical postgraduates at two universities in China: patterns, attitudes, and concerns.BMC medical education · 2026Article
- Exploring the use of AI methods and chatbots in medical education among medical students in Jordan: a cross-sectional study.BMC medical education · 2026Article
- Medical statistics education in the big data era: focusing on critical thinking and ethical competence.Frontiers in public health · 2026Article
- Application of Artificial Intelligence in Medical Education: A Systematic and Narrative Review of Pedagogical Potential and Ethical Implications.Advances in medical education and practice · 2026Review
- Evaluating a Custom Chatbot in Undergraduate Medical Education: Randomised Crossover Mixed-Methods Evaluation of Performance, Utility, and Perceptions.Behavioral sciences (Basel, Switzerland) · 2025Article
- Beyond metropolises: artificial intelligence awareness and educational needs among medical students in a developing country.Frontiers in medicine · 2025Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Artificial Intelligence (AI) has made a strong entrance into different fields such as healthcare, but currently, medical degree curricula are not adapted to the changes that adopting these types of tools entitles. It is important to understand the future needs of students to provide the most comprehensive education possible. Objective: The aim of this teaching improvement project is to describe the knowledge, attitudes, and perspectives of medical students regarding the application of AI and chatbots with patients, also considering their ethical perceptions. Methods: Descriptive cross-sectional analysis in which the participants were students enrolled in the subject "Preventive Medicine, Public Health and Applied Statistics" during the second semester of the 2023/24 academic year, corresponding to the fifth year of the Degree in Medicine at the University of Barcelona. The students were invited to complete a specific questionnaire anonymously and voluntarily, which they could respond to using their mobile devices by scanning a QR code projected on the classroom screen, we used Microsoft Forms to perform the survey. Results: Out of the 61 students enrolled in the subject, 34 (56%) attended the seminar, of whom 29 (85%) completed the questionnaire correctly. Of those completing the questionnaire, 20 (69%) had never used chatbots for medical information, 19 (66%) expressed a strong interest in the practical applications of AI in medicine, 14 (48%) indicated elevated concern about the ethical aspects, 17 (59%) acknowledged potential biases in these tools, and 17 (59%) expressed at least moderate confidence in chatbot-provided information. Notably, 24 (83%) agreed that acquiring AI-related knowledge will be essential to effectively perform their future professional roles. Conclusion: Surveyed medical students demonstrated limited exposure to AI-based tools and showed a mid-level of awareness about ethical concerns, but they recognized the importance of AI knowledge for their careers, emphasizing the need for AI integration in medical education.
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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.