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Deep Neural Networks for the Assessment of Surgical Skills: A Systematic Review
[article]
2021
arXiv
pre-print
Surgical training in medical school residency programs has followed the apprenticeship model. The learning and assessment process is inherently subjective and time-consuming. Thus, there is a need for objective methods to assess surgical skills. Here, we use the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to systematically survey the literature on the use of Deep Neural Networks for automated and objective surgical skill assessment, with a focus on
arXiv:2103.05113v1
fatcat:wdimnvsqdrcrpmzlaj3afpxwmm