Potential Use of a New Energy Vision (NEV) Camera for Diagnostic Support of Carpal Tunnel Syndrome: Development of a Decision-Making Algorithm to Differentiate Carpal Tunnel-Affected Hands from Controls

<b>Introduction:</b> Carpal Tunnel Syndrome (CTS) is a prevalent neuropathy requiring accurate, non-invasive diagnostics to minimize patient burden. This study evaluates the New Energy Vision (NEV) camera, an RGB-based multispectral imaging tool, to detect CTS through skin texture and color analysis...

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Autors principals:	Dror Robinson, Mohammad Khatib, Mohammad Eissa, Mustafa Yassin
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2025-06-01
Col·lecció:	Diagnostics
Matèries:	Carpal Tunnel Syndrome NEV camera multispectral imaging machine learning non-invasive diagnosis Haralick texture features
Accés en línia:	https://www.mdpi.com/2075-4418/15/11/1417
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