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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

Recruiting
18-75 years
All
Phase N/A
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  • Simplified (AI rewritten)

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Overview

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.

Eligibility

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.

Study details
    Depression - Major Depressive Disorder

NCT07500714

National Science and Technology Council, Taiwan

13 May 2026

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