What happens when medical students rely on AI – and never develop their own judgment? | Simar Bajaj and Joseph Sakran
Summary
Medical students and doctors-in-training are using AI tools like OpenEvidence to help with clinical decisions. However, relying too much on AI early in their education may prevent them from learning important clinical reasoning skills.Key Facts
- Many U.S. doctors and medical trainees use OpenEvidence, an AI chatbot that provides quick medical advice based on recent research.
- Trainees using AI may skip the important step of struggling to find answers themselves, which can hide gaps in their knowledge.
- Medical training involves learning through failure and practice, building clinical judgment over time.
- AI tools affect not just what doctors see but how they think, changing traditional medical learning.
- Experienced doctors can better judge when AI advice is correct, but trainees may find this challenging.
- Studies show AI tools like OpenEvidence are not always reliable or more accurate than general AI chatbots.
- Trainees worry about depending on AI because everyone else is using it, making it hard to avoid.
- Experts suggest medical programs should require students to first reason independently before consulting AI.
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