MissedlaborDeep learning outperforms radiologists within five years, so we should stop training them now
Missed · called by 2021
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Missed · called by 2021
US radiologist workforce headcount vs. 2016US radiologist count rose 17.3% (30,723 to 36,024) from 2014 to 2023, amid a persistent shortage
Verified blind: DeepSeek V4 + Grok — agree
Met if AI had displaced human radiologists (falling demand / headcount) by ~2021; failed if the workforce kept growing and AI became a complement
People should stop training radiologists now. It’s just completely obvious within five years deep learning is going to do better than radiologists
UAB Reporter (quoting Geoffrey Hinton, 2016) archived↗context · not model-verified · 2022-12
the number of radiologists increased 17.3% (from 30,723 to 36,024)
a significant radiology workforce shortage
Ledger history
- 2026-06-24: seeded
- 2026-06-25: demoted pending bulletproof re-grade
- 2026-07-02: Target date (2021) long past. Neiman HPI (measurement): radiologist headcount grew 17.3% (30,723 to 36,024) from 2014-2023; Nature (2025) corroborates a persistent shortage. Graded wrong per rubric.