Mental Health World Conference 2026

Scientific Sessions

AI and Machine Learning in Mental Health Prediction

At the Mental Health World Conference (MHWC 2026), this session brings together a multidisciplinary panel of data scientists, psychiatrists, technology innovators, and ethicists to explore how AI and predictive analytics are transforming diagnosis, risk identification, and personalized treatment planning. Special emphasis will be placed on responsible innovation and implementation across both high-resource and low-resource contexts.

Also, the session will focus on how machine learning can be used to process vast amounts of information to identify the symptoms of a particular disorder and evaluate the potential success of the treatment. The applications covered at the session will involve natural language processing, sentiment analysis, wearables, and digital phenotyping. The problems related to privacy and data security will also be considered at the session. In addition, all the necessary regulations for innovating and implementing these innovations will be discussed. Besides, the decision-making process will also be a subject at the session.

An important aspect will be the incorporation of artificial intelligence-based solutions into the current healthcare system, from tele-mental health applications to community-based interventions, to make processes more efficient. Attendees will learn everything they need to know about using artificial intelligence and machine learning technologies in mental health care.
 

Related Sessions

Diagnosis and Treatment of Mood Disorders
Schizophrenia and Psychotic Spectrum Disorders
Anxiety, OCD, and Trauma Related Disorders
Substance Use Disorders and Dual Diagnosis
Crisis Intervention and Suicide Prevention
Neurodevelopmental Disorders: ADHD, Autism, and Learning Disabilities
Geriatric Psychiatry and Cognitive Disorders
Child and Adolescent Psychiatry: Emerging Trends
AI and Machine Learning in Mental Health Prediction
Change Mechanisms and Individualized Therapy
Intersectionality and Mental Health: Race, Gender, Identity, and Class
Mental Health in Special Populations
Epigenetics and Mental Health: From Mechanism to Intervention
Climate Change, Eco-Anxiety, and Psychological Resilience
Mental Health Economics and Health Systems Integration
Psychedelic-Assisted Therapies: Clinical Trials and Ethical Frontiers
Grief, Bereavement, and Complicated Loss
Mental Health and Nutrition
Workplace Mental Health and Organizational Psychology
Legal, Ethical, and Human Rights Issues in Mental Health
Spirituality, Religion, and Mental Well-being
Digital Addiction and Mental Health in the Tech Age