7th Edition of Global Conference on
Addiction Medicine, Behavioral Health and Psychiatry
October 19-21, 2026 | Boston, Massachusetts, 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.
Frederick J Goldstein
Philadelphia College of Osteopathic Medicine, United States
Nile Stanley
University of North Florida, United States
Ann Marie Leonard Zabel
Curry College and NEALAC Clinic , United States
John Michael Weber
Trauma Healed Life Coach, United States
Denis Larrivee
University of Navarra, Spain
Steve Cohen
Medvesta Hypnosis Healthcare, United States
Andrew Drasen
A Vision of Hope Media, United StatesSubmit your abstract Today
Title : The storm within: Neuropsychological insights into dysregulation and substance use in the adolescent brain
Ann Marie Leonard Zabel, Curry College and NEALAC Clinic , United States
Title : The effect of Balint training on self-efficacy and empathy among medical students and the moderator role of personality traits and choice of specialty
Meni Koslowsky, Ariel University, Israel
Title : Sexualizing anxiety and anxiolytic sex: Misattribution of arousal
Sam Vaknin, Commonwealth Institute of Advanced Professional Studies, United Kingdom
Title : Dr Jekyll and Mr. Hyde revealed: Tales from the default mode network
Christopher Ashton, TeDDs on Chapel, Centre for Recovery, Canada
Title : Integrating bibliopoetry therapy and digital health technologies for inflammation management: A neuropsychosomatic perspective
Nile Stanley, University of North Florida, United States
Title : Addiction and the failure of meaning-forming
Jenni Guentcheva, GoodNeighbor LLC, United States