International Congress on AI & Digital Psychiatry

Advances Covers innovations in CBT, DBT, ACT, and other psychotherapy modalities. Explores behavior change science and integrative mental health techniques. Supports evidence-based clinical practice and holistic care.

Discusses dementia, Alzheimer’s disease, and late-life depression. Covers cognitive evaluations, caregiver support, and palliative approaches. Emphasizes aging population needs and global healthcare challenges.

Reviews virtual care models, remote patient monitoring, and mobile mental health apps. Highlights AI chatbots, digital CBT, and wearable technology in psychiatry. Focuses on accessibility, scalability, and ethical concerns.

Discusses novel therapeutic approaches for major depressive and anxiety disorders. Covers CBT, mindfulness, ketamine therapy, and digital therapeutics. Focuses on improving quality of life through integrated care.

Covers alcohol, drug, and behavioral addictions with evidence-based treatments. Explores relapse prevention, harm reduction, and psychological therapies. Includes neurobiology of addiction and global trends in substance use.

Focuses on developmental disorders, behavioral issues, and early-life interventions. Highlights ADHD, ASD, anxiety, depression, and school-based mental health programs. Emphasizes prevention and long-term management strategies.

Examines new-generation antidepressants, antipsychotics, and mood stabilizers. Includes discussions on treatment resistance and personalized medicine. Features updates on clinical trials and pharmaceutical innovations.

Covers brain–behavior relationships, neurobiology of mental disorders, and neural pathways. Highlights breakthroughs in neuroimaging, biomarkers, and cognitive neuroscience. Connects psychiatry with cutting-edge brain research.

Explore advances in diagnostic tools, DSM-5 guidance, and AI-supported assessments. Focus on early detection, differential diagnosis, and personalized treatment planning. Ideal for clinicians aiming to improve precision and patient outcomes.

Scalable mental health solutions, low resource settings, and global psychiatric care models.

AI bias, data privacy, ethical frameworks, and regulatory challenges in digital psychiatry.

Genomics, biomarkers, and AI-driven personalized treatment planning in psychiatry.

Healthcare data analytics, electronic health records, and population level mental health insights.

Mobile apps, CBT platforms, AI chatbots, and digital therapy solutions for mental health treatment.

Text and speech analysis for early detection of mental disorders using social media and clinical data.

Remote psychiatric care models, virtual consultations, and scalable telehealth infrastructure.

Brain imaging AI, neuroinformatics, EEG analysis, and brain computer interface technologies.

Predictive modeling for depression, anxiety, suicide risk detection, and behavioral pattern analysis.

AI models for diagnosis, treatment prediction, and clinical decision-making in mental health disorders.