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

NCT07500714 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 100

Last updated 2026-03-30

No results posted yet for this study

Summary

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.

Conditions

  • Depression - Major Depressive Disorder

Interventions

BEHAVIORAL

Internet Cognitive-Behavioral Therapy

GPT-powered iCBT the participants will receive 8 sessions (30 minutes per session)

BEHAVIORAL

Sham treatment

Sham (relaxation/supportive interaction) treatment at Day 2, 5, 9, 12, 16, 19, 23, 27.

Sponsors & Collaborators

  • National Science and Technology Council, Taiwan

    lead OTHER_GOV

Study Design

Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
TRIPLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-06-01
Primary Completion
2027-06-30
Completion
2027-07-31

Countries

  • Taiwan

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07500714 on ClinicalTrials.gov