AI-based model for automatic identification of multiple sclerosis based on enhanced sea-horse optimizer and MRI scans

Abstract This study aims to develop an AI-enhanced methodology for the expedited and accurate diagnosis of Multiple Sclerosis (MS), a chronic disease affecting the central nervous system leading to progressive impairment. Traditional diagnostic methods are slow and require substantial expertise, und...

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Autori principali:	Mohamed G. Khattap, Mohamed Abd Elaziz, Hend Galal Eldeen Mohamed Ali Hassan, Ahmed Elgarayhi, Mohammed Sallah
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2024-05-01
Serie:	Scientific Reports
Soggetti:	Multiple sclerosis (MS) Magnetic resonance imaging (MRI) AI-based diagnosis Feature selection Sea-horse optimizer (SHO)
Accesso online:	https://doi.org/10.1038/s41598-024-61876-9
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