Key Points from AHA Publications on AI in Cardiology (Published in March 04 2025)

Key Points from AHA Publications on AI in Cardiology (Published in March 04 2025)

1. AI-Driven Coronary CT Angiography (CCTA) Analysis

• Previously, CCTA was used primarily as a gatekeeper to rule out angiography, but now it provides procedural planning insights before entering the cath lab.

2. AI-Enhanced Pre-Procedure Planning

• AI processing of CCTA exams provides:

• CT fractional flow reserve (CT-FFR) values to identify ischemia.

• 3D coronary mapping with pressure drop visualization.

• Detailed plaque analysis through multiplanar imaging.

• Automated quantification of soft plaques with color-coded assessments.

• This enables interventional cardiologists to plan the best treatment strategy before angiography or PCI.

3. Key Insights from AI Analysis

• AI-driven assessment now offers insights into:

• Extent and location of ischemia.

• Plaque burden and composition (calcific vs. lipid-rich).

• Optimal stent sizing and vessel diameter.

• Potential complications from side branches.

4. Improved Procedural Efficiency and Patient Outcomes

• AI pre-determines optimal angiographic views, reducing procedure time.

• AI helps decide between PCI and CABG, sometimes even before a diagnostic angiogram.

• Better patient communication through visual AI-generated risk assessments.

5. AI’s Growing Role in Interventional Cardiology

• CCTA adoption has increased since the 2021 ACC chest pain guidelines gave it a Class 1A recommendation.

• HeartFlow’s AI was among the first AI technologies integrated into clinical guidelines.

These advancements underscore AI’s transformational role in cardiology, optimizing both procedural outcomes and long-term patient care.