Wide range of applications for machine-learning prediction models in orthopedic surgical outcome: a systematic review

Paul T Oginka Department of Orthopedic Surgery, University Medical Center Utrecht – Utrecht University, Utrecht, The NetherlandsCorrespondence[email protected]

Olivier Q Grootb Department of Orthopedic Surgery, Orthopedic Oncology Service, Massachusetts General Hospital – Harvard Medical School, Boston, USA

Aditya V Karhadeb Department of Orthopedic Surgery, Orthopedic Oncology Service, Massachusetts General Hospital – Harvard Medical School, Boston, USA

Michiel E R Bongersb Department of Orthopedic Surgery, Orthopedic Oncology Service, Massachusetts General Hospital – Harvard Medical School, Boston, USA

F Cumhur Onera Department of Orthopedic Surgery, University Medical Center Utrecht – Utrecht University, Utrecht, The Netherlands

Jorrit-Jan Verlaana Department of Orthopedic Surgery, University Medical Center Utrecht – Utrecht University, Utrecht, The Netherlands

Joseph H Schwabb Department of Orthopedic Surgery, Orthopedic Oncology Service, Massachusetts General Hospital – Harvard Medical School, Boston, USA

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Wide range of applications for machine-learning prediction models in orthopedic surgical outcome: a systematic review

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Wide range of applications for machine-learning prediction models in orthopedic surgical outcome: a systematic review

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