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STUDY PROTOCOL article

Front. Psychiatry
Sec. Digital Mental Health
Volume 15 - 2024 | doi: 10.3389/fpsyt.2024.1414439

An advanced Artificial Intelligence platform for a personalised treatment of Eating Disorders

Provisionally accepted
Francesco Monaco Francesco Monaco 1,2Annarita Vignapiano Annarita Vignapiano 1,2Martina Piacente Martina Piacente 2*Claudio Pagano Claudio Pagano 3*Carlo Mancuso Carlo Mancuso 3*Luca Steardo Luca Steardo 4Alessandra Marenna Alessandra Marenna 2*Federica Farina Federica Farina 2*Gianvito Petrillo Gianvito Petrillo 3*Stefano Leo Stefano Leo 2*Emanuela Ferrara Emanuela Ferrara 1*Stefania Palermo Stefania Palermo 1*Vassilis Martiadis Vassilis Martiadis 5Marco Solmi Marco Solmi 10,6,7,8,9Alessio M. Monteleone Alessio M. Monteleone 11*Alessio Fasano Alessio Fasano 12,13,2Giulio Corrivetti Giulio Corrivetti 1,2
  • 1 Department of Mental Health, Azienda Sanitaria Locale Salerno, Salerno, Italy
  • 2 European Biomedical Research Institute of Salerno (EBRIS), Salerno, Italy
  • 3 Innovation Technology e Sviluppo (I.T.Svil), Salerno, Italy
  • 4 Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Calabria, Italy
  • 5 Department of Mental Health, Local Health Authority Naples 1 Center, Napoli, Italy
  • 6 Department of Psychiatry, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
  • 7 On Track: The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ontario, ON, Canada, Ottawa, Ontario, Canada
  • 8 Clinical Epidemiology Program, Ottawa Hospital Research Institute (OHRI), Ottawa, Ontario, Canada
  • 9 School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
  • 10 Department of Child and Adolescent Psychiatry, Charité—Universitätsmedizin, Berlin, Baden-Württemberg, Germany
  • 11 Department of Psychiatry, University of Campania 'Luigi Vanvitelli', Naples, Campania, Italy
  • 12 Division of Pediatric Gastroenterology and Nutrition, Department of Pediatrics, Massachusetts General Hospital for Children, Harvard Medical School, Boston, United States
  • 13 Mucosal Immunology and Biology Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States

The final, formatted version of the article will be published soon.

    Eating disor der s (EDs) affect millions wor ldwide. Our innovative Ar tificial Intelligence (AI) -power ed platfor m is designed to impr ove the landscape of EDs diagnosis, tr eatment, and car e accessibility. By lever aging advanced AI technologies, we aim to pr ovide ear lier inter vention and per sonalized ther apy, ultimately leading to significant impr ovements in patient outcomes. This initiative r epr esents a pr omising step for war d in addr essing the challenges posed by EDs and advancing mental healthcar e.

    Keywords: Eating Disor der s, Ar tificial intelligence, Data-dr iven appr oach, Ear ly identification, per sonalized tr eatment Eating Disorders, artificial intelligence, Data-driven approach, Early Identificatio n

    Received: 08 Apr 2024; Accepted: 19 Jul 2024.

    Copyright: © 2024 Monaco, Vignapiano, Piacente, Pagano, Mancuso, Steardo, Marenna, Farina, Petrillo, Leo, Ferrara, Palermo, Martiadis, Solmi, Monteleone, Fasano and Corrivetti. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Martina Piacente, European Biomedical Research Institute of Salerno (EBRIS), Salerno, 84125, Italy
    Claudio Pagano, Innovation Technology e Sviluppo (I.T.Svil), Salerno, Italy
    Carlo Mancuso, Innovation Technology e Sviluppo (I.T.Svil), Salerno, Italy
    Alessandra Marenna, European Biomedical Research Institute of Salerno (EBRIS), Salerno, 84125, Italy
    Federica Farina, European Biomedical Research Institute of Salerno (EBRIS), Salerno, 84125, Italy
    Gianvito Petrillo, Innovation Technology e Sviluppo (I.T.Svil), Salerno, Italy
    Stefano Leo, European Biomedical Research Institute of Salerno (EBRIS), Salerno, 84125, Italy
    Emanuela Ferrara, Department of Mental Health, Azienda Sanitaria Locale Salerno, Salerno, Italy
    Stefania Palermo, Department of Mental Health, Azienda Sanitaria Locale Salerno, Salerno, Italy
    Alessio M. Monteleone, Department of Psychiatry, University of Campania 'Luigi Vanvitelli', Naples, Campania, Italy

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.