Enhancing surgical performance in cardiothoracic surgery with innovations from computer vision and artificial intelligence: a narrative review

Enhancing surgical performance in cardiothoracic surgery with innovations from computer vision and artificial intelligence: a narrative review

Abstract When technical requirements are high, and patient outcomes are critical, opportunities for monitoring and improving surgical skills via objective motion analysis feedback may be particularly beneficial. This narrative review synthesises work on technical and non-technical surgical skills, c...

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Bibliographic Details
Main Authors: Merryn D. Constable, Hubert P. H. Shum, Stephen Clark
Format: Article
Language:English
Published: BMC 2024-02-01
Series:Journal of Cardiothoracic Surgery
Subjects:
Deep learning
Pose estimation
Psychomotor ability
Surgical expertise
Surgical skills
Markerless motion tracking
Online Access:https://doi.org/10.1186/s13019-024-02558-5

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