Registry-Based Model Predicts Hip Fracture Risk Better than Current Screening
The model identified about seven times more high-risk patients than current screening and kept strong accuracy using registry data alone.
4 Articles
4 Articles
New AI tool predicts hip fracture risk years ahead
Preventing hip fractures depends on identifying people at high risk early. Researchers at the University of Gothenburg have now developed a new clinical decision support tool that makes this possible-without requiring clinic visits or patient questionnaires.
AI Tool Better than Current Screening for Hip Fracture Risk
A machine-learning algorithm can predict the risk of hip fracture from routinely collected health data better than current screening without needing to see the patient, according to a study in than 3.5 million older individuals. The Fracture Risk Assessment and Classification Using Real-world Evidence and Machine Learning (FRACTURE-ML) tool could help shift hip-fracture care from reacting after an injury to preventing it in the first place. The …
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 in the journal PLOS Medicine by Kristian Axelsson and Mattias Lorentzon of the University of Gothenburg, Sweden, and colleagues.
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