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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