AI algorithm aids in classifying hip fractures on radiographs
A team of researchers from the U.K. led by E.A. Murphy of the University of Bath developed deep-learning algorithms to locate the hip joints on radiographs and then, if there’s a fracture, classify the fracture type. In retrospective testing, their method was nearly 20% more accurate than the original clinical interpretations.
“We envisage that this approach could be used clinically and aid in the diagnosis and in the treatment of patients who sustain hip fractures,” the authors wrote.
Although classification of hip fracture strongly determines surgical treatment and patient outcomes,…
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