Your browser doesn't support javascript.
loading
The Use of Artificial Intelligence in the Management of Neurodegenerative Disorders; Focus on Alzheimer's Disease.
Ghasempour Dabbaghi, Khazar; Khosravirad, Zahra; Jamalnia, Sheida; GhorbaniNia, Rahil; Mahmoudikohani, Fatemeh; Zakeri, Habib; Khastehband, Solmaz.
Afiliación
  • Ghasempour Dabbaghi K; School of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
  • Khosravirad Z; Department of Quality Improvement in Kowsar Hospital, Shiraz, Iran.
  • Jamalnia S; Department of Nursing and Midwifery, Kazeroun Branch, Islamic Azad University, Kazeroun, Iran.
  • GhorbaniNia R; Noncommunicable Disease Research Center, Bam University of Medical Science, Bam, Iran.
  • Mahmoudikohani F; Department of Midwifery, School of Nursing and Midwifery, Bam University of Medical Science, Bam, Iran.
  • Zakeri H; Research Center for Neuromodulation and Pain, NAB Pain Clinic, Shiraz University of Medical Sciences, Shiraz, Iran.
  • Khastehband S; Department of Educational Management, Islamic Azad University-south Tehran Branch, Tehran, Iran.
Galen Med J ; 12: 1-7, 2023.
Article en En | MEDLINE | ID: mdl-38827644
ABSTRACT
Recent advances in artificial intelligence (AI) have shown great promise in the diagnosis, prediction, treatment plans, and monitoring of neurodegenerative disorders. AI algorithms can analyze huge quantities of data from numerous sources, including medical images, quantifiable proteins in urine, blood, and cerebrospinal fluid (CSF), genetic information, clinical records, electroencephalography (EEG) signals, driving behaviors, and so forth. Alzheimer's disease (AD) is one of the most common neurodegenerative disorders that progressively damage cognitive abilities and memory. This study specifically explores the possible application of AI in the diagnosis, prediction, monitoring, biomarker or drug discovery, and classification of AD.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Galen Med J Año: 2023 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Irán
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Galen Med J Año: 2023 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Irán