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The Clinical Relevance of Artificial Intelligence in Migraine.

Published version
Peer-reviewed

Repository DOI


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Authors

Maccora, Simona 
Prinzi, Francesco 
Alonge, Paolo 
Pilati, Laura 

Abstract

Migraine is a burdensome neurological disorder that still lacks clear and easily accessible diagnostic biomarkers. Furthermore, a straightforward pathway is hard to find for migraineurs' management, so the search for response predictors has become urgent. Nowadays, artificial intelligence (AI) has pervaded almost every aspect of our lives, and medicine has not been missed. Its applications are nearly limitless, and the ability to use machine learning approaches has given researchers a chance to give huge amounts of data new insights. When it comes to migraine, AI may play a fundamental role, helping clinicians and patients in many ways. For example, AI-based models can increase diagnostic accuracy, especially for non-headache specialists, and may help in correctly classifying the different groups of patients. Moreover, AI models analysing brain imaging studies reveal promising results in identifying disease biomarkers. Regarding migraine management, AI applications showed value in identifying outcome measures, the best treatment choices, and therapy response prediction. In the present review, the authors introduce the various and most recent clinical applications of AI regarding migraine.

Description

Peer reviewed: True


Publication status: Published

Keywords

artificial intelligence, machine learning, migraine, migraine attack prediction, migraine diagnosis, migraine management, personalised medicine

Journal Title

Brain Sci

Conference Name

Journal ISSN

2076-3425
2076-3425

Volume Title

14

Publisher

MDPI AG