Artificial intelligence, machine learning and deep learning in neuroradiology: Current applications
Abstract
Author(s): Danilo Caudo*, Ugo Barbaro, Fabio Italiano, Chiara Smorto, Annalisa Militi, Caterina Benedetto, Rosaria Torre, Alessia Biondo, Carmelo Anfuso, Simona Cammaroto, Alessandro Santalco and Rosa Morabito
Artificial intelligence is rapidly expanding in all medical fields and especially in neuroimaging/neuroradiology (more than 5000 articles indexed on PubMed in 2021) however, few reviews summarize its clinical application in diagnosis and clinical management in patients with neurological diseases. Globally, neurological and mental disorders impact 1 in 3 people over their lifetime, so this technology could have a strong clinical impact on daily medical work. This review summarizes and describes the technical background of artificial intelligence and the main tools dedicated to neuroimaging and neuroradiology explaining its utility to improve neurological disease diagnosis and clinical management.
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Editors List
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Prof. Elhadi Miskeen
Obstetrics and Gynaecology Faculty of Medicine, University of Bisha, Saudi Arabia
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Ahmed Hussien Alshewered
University of Basrah College of Medicine, Iraq
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Sudhakar Tummala
Department of Electronics and Communication Engineering SRM University – AP, Andhra Pradesh
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Alphonse Laya
Supervisor of Biochemistry Lab and PhD. students of Faculty of Science, Department of Chemistry and Department of Chemis
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Fava Maria Giovanna
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