Artificial Intelligence for Early Detection of Peripheral Artery Disease

NANot yet recruitingINTERVENTIONAL
Enrollment

7,800

Participants

Timeline

Start Date

July 1, 2026

Primary Completion Date

July 1, 2027

Study Completion Date

June 30, 2028

Conditions
Peripheral Arterial Disease
Interventions
DIAGNOSTIC_TEST

AI-based PAD screening intervention

"Providers will receive alerts for a patient that is flagged by model as being high risk for PAD. This will allow the provider to review the alert, check the patient's previous history, develop additional questions to assess the risk of PAD, and initiate orders prior to seeing a patient. Depending on their assessment during the patient visit the provider may choose to order an ABI test (or perform one at bedside) and/or initiate other secondary prevention measures. All patients for which an alert is triggered will be included for secondary analysis."

All Listed Sponsors
collaborator

Stanford University

OTHER

collaborator

National Institute on Aging (NIA)

NIH

lead

University of California, San Diego

OTHER

NCT06505317 - Artificial Intelligence for Early Detection of Peripheral Artery Disease | Biotech Hunter | Biotech Hunter