Artificial Intelligence in Peripheral Artery Disease
Updated: May 14, 2026
- Peripheral artery disease (PAD) is common but often underdiagnosed, as many patients are asymptomatic and disparities in access to care limit detection. These challenges highlight the need for innovative approaches, including artificial intelligence (AI), to enhance diagnosis, risk prediction, and management.
- Rapid advances in AI enable high-throughput analysis of complex vascular data, such as arterial waveforms, cardiovascular imaging, and clinical variables, creating opportunities to transform vascular care through improved diagnostics, risk assessment, and therapeutic planning.
- This science advisory provides guidance for clinicians, researchers, and policymakers on the responsible, evidence-based deployment of AI in PAD diagnosis and management.
Supporting Materials
Recommended Reading
- Advancing Wearable Biosensors for Congenital Heart Disease: Patient and Clinician Perspectives
- Harnessing Mobile Health Technology for Secondary Cardiovascular Disease Prevention in Older Adults
- Role of Technology in Promoting Heart Healthy Behavior Change to Increase Equity in Optimal Cardiovascular Health