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Ben Turtel
@BTurtel
Founder & CEO @LightningRodAI Ex-Google SWE & Area120 CTO
๊ฐ€์ž… October 2012
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New preprint from @lightningrodai! We trained AI to predict clinical events โ€” ICU transfers, new diagnoses, complications, procedures, ventilation, mortality โ€” directly from raw clinical notes. No labeled data required โ€“ Foresight Learning infers outcomes from what happens later in patient records. Using Tinker from @thinkymachines , we trained a lightweight adapter on GPT-OSS-120B, resulting in a specialized predictor that runs on a single GPU. Results: ๐ŸŽฏ ~70% lower calibration error ๐Ÿ“ˆ Brier skill score: ~0% โ†’ 27% ๐Ÿง  84% win-rate vs the base model in blind reasoning review ๐Ÿฅ‡ Slightly better Brier than GPT-5, despite being a fraction of the size Hospitals and specialty clinics often treat unique patient populations that out-of-the-box models don't have training data for. This makes it possible to build frontier-quality predictors for highly specific patient groups, with nothing but raw clinical records. Congrats to the team โ€” @indiequant @KSkotheim64001 ๐Ÿ™Œ Full paper ๐Ÿ‘‡
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