Resident Physicians’ Perceptions of Artificial Intelligence and Implications for Medical Education: A Qualitative Study
Andrew McFarlane, Shirin Sadri, Ezra Schwartz, Deepthiman Gowda, Helena Filipe, Sanaa Saeed, Anand Nayyar

TL;DR
This study explores how resident physicians view artificial intelligence in healthcare and what medical education should include to prepare future doctors.
Contribution
The study identifies five key themes from resident physicians' perceptions of AI and suggests how medical education should address AI's ethical and humanistic challenges.
Findings
Residents believe AI will transform healthcare but worry about losing control over its implementation.
Residents emphasize the importance of humanistic roles in medicine that cannot be replaced by AI.
Medical education should include AI fundamentals and opportunities for residents to engage in AI development.
Abstract
Educators have called for training in artificial intelligence (AI) in medical education given its certain impact on the future of healthcare. However, there is no consensus regarding how to introduce AI into medical education and little is known about how AI is viewed among medical trainees. In an effort to inform the development of medical education curricula on AI, this study explores perceptions of resident physicians regarding AI in healthcare and its possible impact on their future practice. The authors conducted focus groups with resident physicians across multiple specialties in 2018–2019. Residents were invited to voluntarily participate during pre-existing conference times. Interview transcripts were coded iteratively, and coded data was clustered into categories and themes to capture resident perceptions on AI. Fifty-six residents from emergency medicine, internal medicine,…
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · Innovations in Medical Education · Clinical Reasoning and Diagnostic Skills
