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Clinical Trial

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

NCT: NCT06473558 · NOT_YET_RECRUITING

NCT IDNCT06473558
StatusNOT_YET_RECRUITING
Start Date2027-02-01
Completion2028-02-28
SponsorUniversity Hospitals Cleveland Medical Center (OTHER)
First posted
Last updated

Brief 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.

Official Source

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Data sourced from ClinicalTrials.gov API. For the most current status, refer to the official record.

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