Every year, tens of thousands of people sustain hip fractures that could have been prevented — if only medicine had known where to look in time. Researchers at the University of Gothenburg have built an AI tool called FRACTURE-ML that reads the quiet signals already embedded in national health records to identify who is most at risk, years before a fracture occurs. It is a shift from reactive medicine to anticipatory care, one that could spare many people the cascade of suffering that follows a broken hip.
Swedish researchers develop AI tool to predict hip fracture risk years in advance
Hip fractures result in significant suffering, loss of independence, and increased mortality; the study tracked 142,000 hip fractures among 3.5 million people.