Gait analysis can help doctors figure out how a person stands and walks, especially in cases of fractures.

The study showed a significant association between the rate of hospital readmission after fracture surgery and the presence of underlying medical conditions.

With AI, early gait analysis can be valuable in providing insight into the impact of injury on locomotion and recovery that can help improve rehabilitation strategies.

Using AI could help predict "post-injury complications such as infection malunion, or hardware irritation in individuals with lower extremity fractures," the researchers said in the paper published in the journal Orthopedic Research.

Corresponding author Mostafa Rezapour said, "The findings demonstrate the profound impact that integrating machine learning and gait analysis into orthopedic practice can have on not only improving the accuracy of post-injury complication predictions, but also on the individual patient's This may also help in tailoring rehabilitation strategies to the needs." of Wake Forest University School of Medicine.

The personalized approach "is a step forward in our quest to optimize rehabilitation strategies, reduce recovery time, and improve the overall quality of life for patients with lower extremity fractures," Rezapour said.