AI Technology Aiding Sports Physicians with ACL Injuries
Athletic Leader reports on HSS study findings published in the Orthopaedic Journal of Sports Medicine by senior author David W. Altchek, MD, sports medicine surgeon and co-chief emeritus of the HSS Sports Medicine Institute at HSS, and colleagues.
The results showed that machine learning algorithms can help physicians better predict outcomes following ACL surgery — allowing them to have a better idea of who can meaningfully benefit from the surgery and who may need to adjust post-surgery expectations.
The study found that the model that turned out the best performance was an elastic-net penalized logistic regression (ENPLR) model. This demonstrated “excellent predictive ability” at foreseeing knee recovery from two years onward post-surgery.
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