Automated surgical skill assessment in endoscopic pituitary surgery using real‐time instrument tracking on a high‐fidelity bench‐top phantom

Automated surgical skill assessment in endoscopic pituitary surgery using real‐time instrument tracking on a high‐fidelity bench‐top phantom

Abstract Improved surgical skill is generally associated with improved patient outcomes, although assessment is subjective, labour intensive, and requires domain‐specific expertise. Automated data‐driven metrics can alleviate these difficulties, as demonstrated by existing machine learning instrumen...

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Main Authors: Adrito Das, Bilal Sidiqi, Laurent Mennillo, Zhehua Mao, Mikael Brudfors, Miguel Xochicale, Danyal Z. Khan, Nicola Newall, John G. Hanrahan, Matthew J. Clarkson, Danail Stoyanov, Hani J. Marcus, Sophia Bano
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:Healthcare Technology Letters
Subjects:
artificial intelligence
instrument segmentation
machine learning
minimally invasive surgery
neurosurgery
Online Access:https://doi.org/10.1049/htl2.12101
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https://doi.org/10.1049/htl2.12101

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