Subtle shifts in patient data send popular AI algorithms reeling - risk for patient safety

"An investigation by STAT and the Massachusetts Institute of Technology found that subtle shifts in data fed into popular health care algorithms — used to warn caregivers of impending medical crises — can cause their accuracy to plummet over time, raising the prospect AI could do more harm than good in many hospitals." reports Casey Ross from STAT News.

AI gone astray: How shifts in patient data send health algorithms reeling (statnews.com) 

Data analysis by Adam Yala, Janice Yang and Ludvig Karstens — Jameel Clinic, Massachusetts Institute of Technology  STAT News