Francesco Monaco ^1,2 Annarita Vignapiano ^1,2 Stefania Landi ^1* Luca Steardo ³ Carlo Mancuso ⁴ Claudio Pagano ⁴ Gianvito Petrillo ⁴ Alessandra Marenna ² Martina Piacente ² Stefano Leo ² Carminia Marina Ingenito ² Rossella Bonifacio ¹ Benedetta Di Gruttola ¹ Marco Solmi ^5,6,7,8 Maria Pontillo ⁹ Giorgio Di Lorenzo ^10,11 Alessio Fasano ^12,13,2 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 Department of Health Sciences, University Magna Graecia of Catanzaro, Catanzaro, Calabria, Italy
• ⁴ Innovation Technology e Sviluppo (I.T.Svil), Salerno, Italy
• ⁵ Department of Psychiatry, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
• ⁶ On Track: The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ontario, ON, Canada, Ottawa, Ontario, Canada
• ⁷ Clinical Epidemiology Program, Ottawa Hospital Research Institute (OHRI), Ottawa, Ontario, Canada
• ⁸ School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
• ⁹ Childhood and Adolescent Neuropsychiatry Unit, Department of Neuroscience, Bambino Gesù Children's Hospital (IRCCS), Rome, Lazio, Italy
• ¹⁰ Department of Systems Medicine, Faculty of Medicine and Surgery, University of Rome Tor Vergata, Rome, Lazio, Italy
• ¹¹ Santa Lucia Foundation (IRCCS), Rome, Lazio, 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 Laboratory, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States

Autism Spectrum Disorder (ASD) affects millions of individuals worldwide, presenting challenges in social communication, repetitive behaviors, and sensory processing. Despite its prevalence, diagnosis can be lengthy, and access to appropriate treatment varies greatly. This project utilizes the power of Artificial Intelligence (AI), particularly Machine Learning (ML) and Deep Learning (DL), to improve Autism Spectrum Disorder diagnosis and treatment. A central data hub, the Master Data Plan (MDP), will aggregate and analyze information from diverse sources, feeding AI algorithms that can identify risk factors for ASD, personalize treatment plans based on individual needs, and even predict potential relapses. Furthermore, the project incorporates a patient-facing chatbot to provide information and support. By integrating patient data, empowering individuals with ASD, and supporting healthcare professionals, this platform aims to transform care accessibility, personalize treatment approaches, and optimize the entire care journey. Rigorous data governance measures will ensure ethical and secure data management. This project will improve access to care, personalize treatments for better outcomes, shorten wait times, boost patient involvement, and raise ASD awareness, leading to better resource allocation. This project marks a transformative shift toward data-driven, patient-centred ASD care in Italy. This platform enhances treatment outcomes for individuals with ASD and provides a scalable model for integrating AI into mental health, establishing a new benchmark for personalized patient care. Through AI integration and collaborative efforts, it aims to redefine mental healthcare standards, enhancing the well-being for individuals with ASD.