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AHS 2022 | Migraine classification using deep learning on structural brain MRI data

Mahfuzur Rahman Siddiquee, MD, Arizona State University, Phoenix, AZ, discusses migraine classification using deep learning on structural brain MRI data. With current advances in AI technology for medical applications, a deep learning network was utilized to determine any significant structural changes in brain MRI between migraine and healthy patients. This was verified through a deep learning classifier, exhibiting significant differences between the two groups. The study goal was to determine which brain regions differed in healthy controls to migraine patients – listing the pre-central, insular, and thalamus brain regions as being responsible for migraines. This interview took place during the 2022 American Headache Society (AHS) Annual Scientific Meeting in Denver, CO.