Identification of Depressive and Anxiety Symptoms Among a Sample of Emergency Department Patients Using Artificial Intelligence (AI) Technology
NCT06473558 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 30
Last updated 2026-04-27
Summary
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.
Conditions
- Artificial Intelligence (AI)
Interventions
- DEVICE
-
Biometrics (or AI Biomaker)
Patients will be asked to read a story and their facial expressions and audio cues will be recorded.
Sponsors & Collaborators
-
University Hospitals Cleveland Medical Center
lead OTHER
Principal Investigators
-
Kiran Faryar, MD, MPH · University Hospitals
Study Design
- Allocation
- NA
- Purpose
- SCREENING
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2026-07-01
- Primary Completion
- 2027-02-28
- Completion
- 2027-02-28
- FDA Device
- Yes
Countries
- United States
Study Locations
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