Objective psychiatric analysis for severe depression
Official title: Evaluation of New Computer Vision Methods to Characterize Depression Severity in Patients Hospitalized for Severe Depression.
Run by University Hospital, Lille · NCT06095310 · Data updated 2026-11-12
This project will try using computer vision on video-recorded interviews to find objective signs in adults hospitalized with severe depression.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 300 (estimated) |
| Sponsor | University Hospital, Lille Academic / other |
| Locations | 1 site (Lille) |
| Status | Recruiting |
| Started | November 30, 2023 |
| Main results expected | November 2027 |
| Study ends | November 2027 |
| Registry record updated | May 6, 2026 |
| Trial ID | NCT06095310 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults (18+) hospitalized in the adult psychiatry department of Lille University Hospital with severe depression per DSM-5 who are socially insured and able to consent are the intended participants.
✕Probably not a fit
People who are not hospitalized at Lille CHU, who are pregnant or breastfeeding, or who lack legal capacity to consent are unlikely to be eligible or to benefit from this protocol.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
Adults hospitalized for severe depression at Lille CHU are offered an initial standardized clinical visit including medical and psychiatric history, a structured Hamilton interview (scored 0–21), and DSM-5–based classification of severe depression features. During the Hamilton interview the patient sits 2 to 3 meters from a tripod-mounted camera positioned behind the clinician so the full interview is video-recorded for extraction of observable and measurable psychiatric signs. Collected video and clinical data are processed with new computer vision methods to identify objective behavioral markers that may map to melancholic, psychotic, anxious, catatonic, or seasonal clinical features. Participants must be adults able to consent, socially insured, and hospitalized in the adult psychiatry department of Lille University Hospital, with pregnant or legally incapacitated individuals excluded.
Why it matters
Potential benefit: If successful, this could provide objective, video-based markers to help personalize treatment choices and track symptom change more quickly than clinical observation alone.
How similar studies have gone: Early research using computer vision and other digital biomarkers in depression has shown promise in small studies but remains experimental with limited large-scale validation.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Male or female, over 18 years of age * with severe depression as defined by DSM-5 criteria hospitalized in the adult psychiatry department of Lille University Hospital. * Socially insured * Patient willing to comply with all study procedures and duration. Exclusion Criteria: * Refusal to participate after receiving clear and fair information about the study * Pregnant or breast-feeding women * Person deprived of liberty or under guardianship or curatorship
Where it's running
-
Hôpital Fontan 1 - CHU de Lille
Lille, France Recruiting
Study contacts
- Principal investigator: Ali AMAD, MD, PhD — University Hospital, Lille
- Study coordinator: Ali AMAD, MD, PhD
- Email: ali.amad@chu-lille.fr
- Phone: 3 20 44 44 60
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.