Regulators are quietly raising the evidentiary bar for artificial intelligence in medicine, forcing developers to prove clinical value before they can get paid.
Predicting which scoliosis patients will suffer from spinal imbalance after surgery has always been an educated guess, but a new machine learning model aims to replace intuition with math.
Hospital buyers assume all top-tier radiology AI performs the same, but new head-to-head data reveals critical trade-offs that could compromise patient care if ignored.
A new multimodal AI model helps solve the agonizing clinical dilemma of whether breast cancer survivors should endure five extra years of hormone therapy.
Clinical calculators dictate life-or-death medical decisions every day, but doctors have had no objective way to know which algorithms are actually safe to trust.