NCT06473558

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

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 30 (estimated)
• Sponsor: University Hospitals Cleveland Medical Center · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

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

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

Timeline

• Start date: 2026-01-01
• Primary completion: 2026-08-30
• Completion: 2026-08-30
• First posted: 2024-06-25
• Last updated: 2025-07-18

Locations

1 site across 1 country: United States

Regulatory

• FDA-regulated device study