1.WHAT CHATGPT DO IN USMLE?
Chatgpt passed an exam that rewards memorizing the components of a system rather than analyzing how it works, how it fails, how it was built and how it is maintained did. its success highlights some flaws in the way we educate and evaluate medical students.
2.HOW TO TEACH MEDICAL EDUCATION?
Medical education also needs to recognize biases in the way medical knowledge is produced and validated. these biases are best addressed by optimizing cognitive diversity within communities. more than ever, we need to foster interdisciplinary, collaborative learning and problem-solving. medical students need data science skills that enable clinicians to contribute, continuously evaluate, and recalibrate medical knowledge.
3.WHY WE AWARE ABOUT STUDIES IN CHATGPT?
Before leveraging llm and other artificial intelligence techniques, the problem of data distortion must be addressed. the bodies of knowledge that llms train in medicine and beyond are dominated by content and research from well-funded institutions in high-income countries. it doesn’t represent most of the world.
llm does not assess the quality and bias of trained content. nor does it indicate the level of uncertainty surrounding the results. but perfection should not be the enemy of good. there is a huge opportunity to improve the way healthcare providers make clinical decisions in a world that we know is riddled with unconscious bias. we believe ai will deliver on its promise if we optimize data input.