Registry-based model predicts hip fracture risk better than current screening
A machine-learning tool built from Swedish national health registry data can predict hip fracture risk with high accuracy without an in-person assessment and identifies far more at-risk individuals than current clinical screening practices, according to a study published Aug. 27