Clinical Research Directory
Browse clinical research sites, groups, and studies.
Identification of Depressive and Anxiety Symptoms Among a Sample of Emergency Department Patients Using Artificial Intelligence (AI) Technology
Sponsor: University Hospitals Cleveland Medical Center
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.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
30
Start Date
2026-01-01
Completion Date
2026-08-30
Last Updated
2025-07-18
Healthy Volunteers
No
Conditions
Interventions
Biometrics (or AI Biomaker)
Patients will be asked to read a story and their facial expressions and audio cues will be recorded.
Locations (1)
University Hospitals ED
Cleveland, Ohio, United States