Directly from the USA: AI Tools Help Predict Complications Following Lower-Extremity Fracture

Use of advanced machine learning tools can help predict postinjury complications among patients with lower-extremity fractures, according to a study published online April 10 in the Journal of Orthopedic Research.

Mostafa Rezapour, Ph.D., from the Wake Forest University School of Medicine in Winston-Salem, North Carolina, and colleagues explored the potential of gait analysis coupled with supervised machine learning as a predictive tool for assessing postinjury complications among patients with lower-extremity fractures. Participants with lower-extremity fractures at a tertiary academic center were identified and underwent gait analysis. The raw data were processed, emphasizing 12 essential gait variables. Several machine learning models were trained, tested, and evaluated.

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