Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders | Zendy

U. Raghavendra | Zendy; U. Rajendra Acharya | Zendy; Hojjat Adeli | Zendy

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Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders

Author(s) -

U. Raghavendra,

U. Rajendra Acharya,

Hojjat Adeli

Publication year - 2019

Publication title -

european neurology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.573

H-Index - 77

eISSN - 1421-9913

pISSN - 0014-3022

DOI - 10.1159/000504292

Subject(s) - computer science , cad , artificial intelligence , feature selection , feature extraction , machine learning , engineering , engineering drawing

Authors have been advocating the research ideology that a computer-aided diagnosis (CAD) system trained using lots of patient data and physiological signals and images based on adroit integration of advanced signal processing and artificial intelligence (AI)/machine learning techniques in an automated fashion can assist neurologists, neurosurgeons, radiologists, and other medical providers to make better clinical decisions.

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