Radiologist's guide to picking a residency in the AI era, plus RadLE 2.0 benchmark
DrDatta_AIIMS · x · 2026-09-27
Dr. Suvrankar Datta (AIIMS, CRASH Lab founder) published a long-form guide for young doctors choosing between radiology and medicine residencies in the AI era.
- New premise: healthcare delivery may look radically different by the time a 3-year residency ends, so ask what the specialty will become, not just what you like.
- Four claims: the doctor-patient relationship is shifting; personal knowledge depreciates faster; models keep improving while regulation loosens; radiologists themselves are confused.
- Framework: be honest with yourself, then answer three questions to pick the role you want.
- The post also announces RadLE 2.0, a benchmark for autonomous radiology AI agents, with a live leaderboard.
Related event: Radiologist Guides Young Doctors on Residency Choices in the AI Era(2 posts)→
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