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Prospective Real World Study on Therapy Prediction Algorithm Training

NCT06265909 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 67

Last updated 2024-02-20

No results posted yet for this study

Summary

This study examines the impact of using an algorithm to select therapy content for patients engaged with the mobile mental health platform AmDTx (Mobio Interactive). The algorithm is to be trained with three separate sources of data. Two sources of data come from self-reports by the patients themselves, provided before and after engaging with therapy content. The third source of data comes from an objective measurement of psychological stress, made possible through artificial analysis of computer vision data captured from the mobile device camera as the patient completes a 30 second selfie video before and after engaging with therapy content.

Conditions

  • Stress
  • Emotional Wellbeing

Interventions

DEVICE

AmDTx

AmDTx (Mobio Interactive Pte Ltd, Singapore), is an advanced mobile health platform equipped with computer vision and AI to objectively quantify psychological stress and benchmarked ecological momentary assessments to subjectively measure stress, valence, and arousal. Asynchronous and on-demand psychotherapy available as audio files within AmDTx has been clinically validated across the mental illness severity spectrum. Psychotherapy within AmDTx primarily leverages meditation/mindfulness techniques to enhance relaxation, build stress resilience, improve focus and decision making, and influence behaviour and affect bias.

Sponsors & Collaborators

  • Mobio Interactive PTE LTD

    lead INDUSTRY

Principal Investigators

  • Bechara J Saab, PhD · Mobio Interactive PTE LTD

Eligibility

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

Timeline & Regulatory

Start
2015-03-01
Primary Completion
2022-12-31
Completion
2022-12-31

Countries

  • Singapore

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 NCT06265909 on ClinicalTrials.gov