Preparing Tomorrow's Physicians for AI-Driven Healthcare: Insights from a Study on Medical Students', Interns', and Residents' Knowledge, Attitudes, and Educational Needs - Summary - MDSpire
Advertisement
Preparing Tomorrow's Physicians for AI-Driven Healthcare: Insights from a Study on Medical Students', Interns', and Residents' Knowledge, Attitudes, and Educational Needs
To examine medical and dental trainees' knowledge, attitudes, real-world experiences, and educational needs related to AI in healthcare, with particular attention to trust, workflow integration, human oversight, and institutional governance.
Key Findings:
Moderate awareness of AI applications among trainees.
Limited formal AI training reported.
Strong support for structured AI education.
Four themes identified: perceived value of AI, AI as a clinical support tool, trust and human oversight, and ethical/system-level preconditions.
Concerns regarding accuracy, bias, data security, accountability, and preservation of empathy in patient care.
Interpretation:
Trainees view AI as an assistive tool but express concerns regarding trust, accuracy, and ethical implications.
Limitations:
Study conducted in a single country (UAE), which may limit generalizability.
Sample size for qualitative interviews was small (n = 16).
Conclusion:
Preparing future physicians for AI-enabled healthcare requires human-centered, ethically grounded, and system-ready educational approaches that align education, workflow integration, and governance.
