Machine learning for technical skill assessment in surgery: a systematic review
Abstract Accurate and objective performance assessment is essential for both trainees and certified surgeons. However, existing methods can be time consuming, labor intensive, and subject to bias. Machine learning (ML) has the potential to provide rapid, automated, and reproducible feedback without...
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| Главные авторы: | , , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Portfolio
2022-03-01
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| Серии: | npj Digital Medicine |
| Online-ссылка: | https://doi.org/10.1038/s41746-022-00566-0 |
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