Artificial intelligence (AI) is rapidly reshaping how clinicians approach vascular disease, offering sophisticated tools that enhance diagnostic accuracy, enable earlier disease detection, and improve risk stratification across the spectrum of peripheral artery disease (PAD), pulmonary embolism (PE), carotid artery disease, and aortic disease.1,2 As the population ages, the prevalence of vascular diseases is expected to rise. Moreover, prevalence is expected to increase due to more sophisticated imaging or AI-driven programs. Despite these developments, a wide range of vascular diseases remain underdiagnosed due to limitations in access to care and the complexity of vascular pathologies, which often worsen patient outcomes.3 The integration of AI into vascular medicine can help clinicians in early detection and…