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NOT YET RECRUITING
NCT06473558
NA

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

Sponsor: University Hospitals Cleveland Medical Center

View on ClinicalTrials.gov

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

Interventions

DEVICE

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