Evaluating Conversational Artificial Intelligence for Depression Management
Recruiting now · Not applicable
Conditions studied: Major Depressive Disorder (MDD)
In brief
The goal of this clinical trial is to evaluate how a conversational method of collecting medical history affects patients' perceptions and experiences compared to clinical care as usual. This conversational AI intake system collects medical history information, can be completed by participants at home, and do not disrupt routine clinical care. The primary questions this study aims to answer are: 1\) Does conversational intake affect patients' perceptions of empathy during their clinical interactions? This will be a prospective study that follows a cohort of participants for four (4) months after engaging with the AI intake system. Because each participant serves as his/her own control, both comparators will be administered within-subject, and the order of exposure (AI intake vs. usual care) will be randomized to minimize sequence effects. After completing the AI intake method, participants will rate their experience, particularly in terms of empathy and compare it to their usual interactions with their own clinicians.
Key facts
- Study ID
- NCT07105397
- Run by
- George Mason University
- People needed
- 130
- Starts
- 2026-09-15
- Expected to finish
- 2028-06-30
- Last updated by the study team
- 2026-07-28
Who can join
Age: 18 and older, up to 85. Sex: any. Healthy volunteers: not accepted.
Where it is running
- George Mason University — Fairfax, Virginia, United States (enrolling)
Full record on ClinicalTrials.gov
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