Health-care AI is here. We don’t know if it actually helps patients.

Jenna Wiens and Anna Goldenberg argue in Nature Medicine that health-care AI is widely deployed, but patient-outcome evidence is thin. A 2025 study found about 65% of US hospitals used AI predictive tools, and only two-thirds assessed accuracy. The key issue is post-deployment impact on clinical decisions.

Why it matters: HKR-H/K/R all pass: the story has a sharp evidence-gap hook, concrete 2025 hospital-use numbers, and clear safety resonance. It lacks a new model, regulation, or clinical trial result, so 76 fits the featured threshold.