As artificial intelligence quietly shifts from an administrative helper to a clinical decision-maker, physicians are demanding veto power over the algorithms.
A new machine learning model can help hospitals predict which heart surgery patients will get stuck in the ICU, but its performance drop in external testing highlights a persistent hurdle for clinical AI.
An autonomous AI agent just built a medical imaging tool that outperformed human-engineered models, proving that clinical-grade machine learning no longer requires a team of coders.