Neuroimaging and machine learning in eating disorders: a systematic review

Neuroimaging and machine learning in eating disorders: a systematic review

Abstract Purpose Eating disorders (EDs), including anorexia nervosa (AN), bulimia nervosa (BN), and binge eating disorder (BED), are complex psychiatric conditions with high morbidity and mortality. Neuroimaging and machine learning (ML) represent promising approaches to improve diagnosis, understan...

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Bibliographic Details
Main Authors: Francesco Monaco, Annarita Vignapiano, Benedetta Di Gruttola, Stefania Landi, Ernesta Panarello, Raffaele Malvone, Stefania Palermo, Alessandra Marenna, Enrico Collantoni, Giovanna Celia, Valeria Di Stefano, Paolo Meneguzzo, Martina D’Angelo, Giulio Corrivetti, Luca Steardo
Format: Article
Language:English
Published: Springer 2025-06-01
Series:Eating and Weight Disorders
Subjects:
Neuroimaging
Machine learning
Eating disorders
Biomarkers
Predictive analytic
Online Access:https://doi.org/10.1007/s40519-025-01757-w
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