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Identifying patients at risk for short-term adverse events after hip arthroscopy: a machine learning analysis of a national database
0
Zitationen
6
Autoren
2026
Jahr
Abstract
These findings demonstrate the value of ML and may assist in predicting surgical outcomes, guiding clinical decision-making, and managing patient expectations regarding their postoperative course.
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