Wide range of applications for machine-learning prediction models in orthopedic surgical outcome: a systematic review
Background and purpose — Advancements in software and hardware have enabled the rise of clinical prediction models based on machine learning (ML) in orthopedic surgery. Given their growing popularity and their likely implementation in clinical practice we evaluated which outcomes these new models ha...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Medical Journals Sweden
2021-10-01
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| Series: | Acta Orthopaedica |
| Online Access: | http://dx.doi.org/10.1080/17453674.2021.1932928 |