Identification of Depressive and Anxiety Symptoms Among a Sample of Emergency Department Patients Using Artificial Intelligence (AI) Technology

Part of paid clinical trials in Cleveland, Ohio.

Sponsor
University Hospitals Cleveland Medical Center
Study ID
NCT06473558
Status
Not Yet Recruiting

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Conditions

  • Artificial Intelligence (AI)

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • Biometrics (or AI Biomaker) — DEVICE
    Patients will be asked to read a story and their facial expressions and audio cues will be recorded.

Study Details

Behavioral health problems, such as depression and anxiety, are common yet often are not identified by emergency department doctors and nurses. These mental health conditions can be due to medical issues or can worsen medical problems. One way investigators hope to do a better job of learning about mental health is by training Artificial Intelligence (AI) software to detect anxiety and depression by analyzing facial expression and tone of voice. Participants are invited to participate in a study which may help improve emergency department care. An audio and video recording of the participant's responses to some simple, non-psychological questions will be analyzed by a computer to determine whether investigators can assess mood and anxiety by analyzing speech and visual patterns. The audio and video will not be listened to nor watched by study personnel, only analyzed by a computer. The investigator's hope is that it will help others in the future by aiding in the assessment of psychological state. This study is being conducted at CMC ED only.

Key Dates

Start date
Jul 1, 2026
Status verified
Apr 2026
Primary completion
Feb 28, 2027
Completion
Feb 28, 2027

Study Design

Enrollment
30 participants (estimated)
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
SCREENING

Arms

  • Experimental: Participants seen at University Hospitals Cleveland Medical Center Emergency Department
    Eligible patients must present with non-emergent concerns of Emergency Severity Index (ESI) level 3, 4, or 5. Patients will complete assessments and questionnaires and end with being recorded reading a story to capture facial expressions and audio cues.

Primary Outcome Measure

Percentage of participants who score 5-9 on the PHQ-9 [ Time Frame: Baseline ]

Central Contacts

Locations (1)

FacilityCityStateZIPSite coordinators
University Hospitals EDClevelandOhio44106
Andie M Moore, MS
[email protected]
(216) 286 -7239

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By research site
University Hospitals ED· Cleveland, OH

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