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Life sciences · Interventional Study
ClinicalTrials.gov · September 15, 2026
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Interventional Study.
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Registry record from ClinicalTrials.gov (NCT06473558). This is a study registration, not published results. Lead sponsor: University Hospitals Cleveland Medical Center. Recruitment status: NOT_YET_RECRUITING. Phase: NA. Study type: INTERVENTIONAL. Enrollment: 30 participants (ESTIMATED). Conditions: Artificial Intelligence (AI). Interventions: DEVICE: Biometrics (or AI Biomaker). Primary outcome measures: Percentage of participants who score 5-9 on the PHQ-9 , Baseline; Percentage of participants who score 10-14 on the PHQ-9 , Baseline; Percentage of participants who score 15-19 on the PHQ-9 , Baseline; Percentage of participants who score 20-27 on the PHQ-9 , Baseline; Percentage of participants who score 5-9 on the GAD-7 , Baseline; Percentage of participants who score 10-14 on the GAD-7 , Baseline; Percentage of participants who score above 15 on the GAD-7 , Baseline; Number of participants that AI screened positive for mild depression symptoms. , Baseline; Number of participants that AI screened positive for moderate depression symptoms. , Baseline; Number of participants that AI screened positive for moderately severe depression symptoms. , Baseline; Number of participants that AI screened positive for severe depression screening , Baseline; Number of participants that AI screened positive for mild anxiety symptoms. , Baseline; Number of participants that AI screened positive for moderate anxiety symptoms. , Baseline; Number of participants that AI screened positive for severe anxiety symptoms. , Baseline. 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.