6th Edition of Global Conference on
Addiction Medicine, Behavioral Health and Psychiatry
October 20-22, 2025 | Orlando, Florida, USA
Artificial Intelligence and Machine Learning in Psychiatry
Advances in data science are reshaping diagnostic and therapeutic models in mental healthcare. Artificial intelligence and machine learning in psychiatry are enabling earlier detection of mental illness through predictive analytics, pattern recognition in speech or behavior, and interpretation of neuroimaging data. Algorithms trained on clinical records can now assist in identifying suicide risk, treatment-resistant depression, or medication side effects more efficiently than traditional tools. These technologies are also supporting the development of personalized treatment plans based on symptom clusters and patient histories. While promising, the field faces ethical questions surrounding privacy, bias in datasets, and clinical accountability. With cautious integration, AI can augment psychiatric care and increase access to timely, individualized support for patients worldwide.
Nile Stanley
University of North Florida, United States
Ann Marie Leonard Zabel
Curry College, United States
Denis Larrivee
University of Navarra, Spain
Scharbach Hugues
Paris University, France
Alphonsus Obayuwana
Triple-H Project LLC, United States
Malasri Chaudhery Malgeri
Recovery com, United States
Jana Furstova
Palacký University Olomouc, Czech RepublicSubmit your abstract Today
Title : Tailoring biblio-poetry therapies using AI and biofeedback for addiction treatment
Nile Stanley, University of North Florida, United States
Title : The A-B-C of happiness coaching
Alphonsus Obayuwana, Triple-H Project LLC, United States
Title : Clinical pharmacology of marijuana: Update 2024
Frederick J Goldstein, Philadelphia College of Osteopathic Medicine, United States
Title : Trait-based recovery: Evidence-based trait activation to reduce depression, anxiety, and improve client engagement in addiction treatment
Jason Glenn Roop, The Center for Trait-Based Transformation, United States
Title : An investigation of the factors responsible for ubstance abuse from a cognitive perspective based on a mixed method approach
Adewole Olukorede, Literary Edifice, Italy
Title : A Long-Acting Naltrexone Implant (for Opioid Use Disorder: First-in-Human Phase I Trial)
Steven M Cohen, Akyso Therapeutics, United States