Not_yet_recruitingNANCT06473558

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

Sponsor: University Hospitals Cleveland Medical Center

Trial Details

ConditionArtificial Intelligence (AI)
InterventionBiometrics (or AI Biomaker)
PhaseNA
StatusNot_yet_recruiting
Participants30
Est. Completion28 Feb 2027
Last Updated27 Apr 2026

Primary Outcome

Percentage of participants who score 5-9 on the PHQ-9; Percentage of participants who score 10-14 on the PHQ-9; Percentage of participants who score 15-19 on the PHQ-9; Percentage of participants who score 20-27 on the PHQ-9; Percentage of participants who score 5-9 on the GAD-7; Percentage of participants who score 10-14 on the GAD-7; Percentage of participants who score above 15 on the GAD-7; Number of participants that AI screened positive for mild depression symptoms.; Number of participants that AI screened positive for moderate depression symptoms.; Number of participants that AI screened positive for moderately severe depression symptoms.; Number of participants that AI screened positive for severe depression screening; Number of participants that AI screened positive for mild anxiety symptoms.; Number of participants that AI screened positive for moderate anxiety symptoms.; Number of participants that AI screened positive for severe anxiety symptoms.

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: * Adult patients (age 18 and over) who presents to the UHCMC ED voluntarily with no obvious psychological disturbance by self-report or nurse/provider initial assessment * English-speaking * Patients with non-emergent concerns of Emergency Severity Index (ESI) level 3, 4, or 5 Exclusion Criteria: * Prisoners * Patients who are deemed to be critically ill (including life or limb threatening illness) or unable to consent * Non-English Speaking

Trial Sites

Countries

United States
View Registry Entry

This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service