Generative AI may undermine critical thinking skills and reinforce bias in new doctors, warns BMJ editorial.
Key Details
- 1BMJ Evidence Based Medicine editorial highlights dangers of overreliance on generative AI in medical education.
- 2Risks include automation bias, cognitive off-loading, deskilling, reinforcement of biases, hallucinations, and data privacy breaches.
- 3Authors recommend grading medical students on process, not just outcomes, and using in-person assessments to ensure skill development.
- 4Suggests AI literacy and competency should be incorporated into medical curricula.
- 5Calls for updated regulatory and educational guidance from professional societies and regulators.
Why It Matters
Medical imaging professionals, including radiologists, are increasingly exposed to AI tools; understanding these risks is crucial to maintaining critical skills and ensuring equitable, safe patient care. The recommendations are relevant to shaping future radiology training and competency standards as AI integration accelerates.
Source
EurekAlert
Related News
•EurekAlert
Expert Insights from JAMA Summit on AI's Role in Healthcare
The JAMA Summit Report brings together expert views on opportunities, risks, and practical steps for integrating AI in healthcare.
•EurekAlert
Experts Call for Patient Rights in Regulation of Healthcare AI
A new commentary urges improvements to patient-centred regulation in healthcare AI to better protect against bias and uphold patient rights.
•EurekAlert
Landmark Case Highlights Legal Risks for Medical AI Device Makers
A recent legal case may shape future liability risk for manufacturers of AI-enabled medical devices, including those using imaging AI.