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Diagnosis of carpal tunnel syndrome using a 10-s grip-and-release test with video and machine learning analysis.

Authors :
Kazuya Tsukamoto
Ryota Matsui
Yuta Sugiura
Koji Fujita
Source :
Journal of Hand Surgery (17531934); May2024, Vol. 49 Issue 5, p634-636, 3p
Publication Year :
2024

Abstract

We developed a finger motion-based diagnostic system for carpal tunnel syndrome by analysing 10 second grip-and-release test videos. Using machine learning, it estimated presence of carpal tunnel syndrome (89% sensitivity and 83% specificity) and correlated with severity on nerve conduction studies (coefficient 0.68). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17531934
Volume :
49
Issue :
5
Database :
Complementary Index
Journal :
Journal of Hand Surgery (17531934)
Publication Type :
Academic Journal
Accession number :
178103975
Full Text :
https://doi.org/10.1177/17531934231214661