Integrating Digital Phenotypes and AI-Driven Cognitive-Behavioral Therapy: Advancing Precision Medicine in Depression Through Digital Medicine

Integrating Digital Phenotypes and AI-Driven Cognitive-Behavioral Therapy: Advancing Precision Medicine in Depression Through Digital Medicine

This project aims to integrate digital phenotyping and AI-driven iCBT into a comprehensive platform for MDD diagnosis and treatment in Taiwan. The study will explore dynamic, real-time behavioral and physiological markers to refine diagnostic classifications and optimize personalized therapeutic strategies.

Inclusion Criteria:

• (1) Aged 18-75 years
• Diagnosis of major depressive disorder disorder (Based on Diagnostic Statistical Manual 5)
• 21-item Hamilton Depression Scale (HAMD21)>17
• No changes in current psychiatric treatment for depression (e.g., no treatment, antidepressant medication, psychotherapy, or non-invasive brain stimulation) within the past four weeks, and
• Full competency to understand the study details and provide written informed consent

Exclusion Criteria:

• Scores of 5 ( Markedly ill), 6,(Severely ill), and 7 (Among the most extremely ill) according to the Clinical Global Impression Scale-Severity (CGI-S)
• Psychotic disorders, bipolar affective disorder, a substance use disorders in the past 6 months, active suicidal or homicidal ideation (per assessment or HAMD>3)
• Unstable or active medical illness.