Machine learning for technical skill assessment in surgery: a systematic review

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 the need...

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Detalles Bibliográficos
Autores principales: Lam, Kyle, Chen, Junhong, Wang, Zeyu, Iqbal, Fahad M., Darzi, Ara, Lo, Benny, Purkayastha, Sanjay, Kinross, James M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8894462/
https://www.ncbi.nlm.nih.gov/pubmed/35241760
http://dx.doi.org/10.1038/s41746-022-00566-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8894462/
https://www.ncbi.nlm.nih.gov/pubmed/35241760
http://dx.doi.org/10.1038/s41746-022-00566-0

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