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Artificial Intelligence in Cardiovascular Care

CE / CME

Artificial Intelligence in Cardiovascular Care: Foundations and Best Practices for Improving Patient Outcomes

Physician Assistants/Physician Associates: 1.50 AAPA Category 1 CME credits

Nurse Practitioners/Nurses: 1.50 Nursing contact hours

Pharmacists: 1.50 contact hours (0.15 CEUs)

Physicians: maximum of 1.50 AMA PRA Category 1 Credits

Released: September 19, 2025

Expiration: September 18, 2026

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Please answer the questions below.
1.

A 58-year-old male presents with exertional chest pain. A coronary CT angiogram is performed, and an artificial intelligence (AI)–based tool analyzes the images, flags possible stenosis, and generates a risk score. What is the best way to describe the role of AI in this case? 

2.

A 65-year-old male with hypertension undergoes routine evaluation. An AI-based tool reviews his ECG and electronic health record (EHR), flagging him as high risk for future heart failure. Which statement best summarizes the current uses of AI for CV disease detection and risk stratification?

3.

A 70-year-old man with ischemic cardiomyopathy is admitted for decompensated heart failure. Your health system recently implemented an AI tool that analyzes EHRs, labs, and imaging to predict the risk of 30-day readmission. The cardiology team receives an alert that this patient has a “high risk” score. Which of the following best represents a best practice for integrating this AI tool into clinical workflows?