The movements of a surgeon in a procedure—called "surgical gestures"—can be used to predict patient recovery, according to Cedars-Sinai investigators.
Their findings, published in npj Digital Medicine, suggest this technology could help surgeons refine their techniques and improve patient outcomes.
The AI system, called Frame-to-Outcome (F2O), analyzes video recorded during the nerve-sparing portion of robot-assisted prostate surgery, when surgeons work to preserve the nerves responsible for sexual function.
Rather than relying on experts to manually evaluate each procedure, the system automatically identifies patterns in a surgeon's movements—called "surgical gestures"—and uses them to predict patient recovery.
Investigators found that F2O matched expert human reviewers in predicting patient outcomes while dramatically reducing the time required to analyze surgical performance.
The technology could eventually provide surgeons with objective feedback on the techniques most closely associated with successful patient recovery.
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