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

• Published in: NPJ digital medicine Vol. 5; no. 1; pp. 24 - 16
• Main Authors: Lam, Kyle, Chen, Junhong, Wang, Zeyu, Iqbal, Fahad M., Darzi, Ara, Lo, Benny, Purkayastha, Sanjay, Kinross, James M.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 03.03.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 639/705/117; 692/700/565/545; Biomedicine; Biotechnology; Clinical competence; Digital technology; Machine learning; Medical technology; Medicine; Medicine & Public Health; Review; Review Article; Support vector machines; Surgeons; Surgery

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...