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AI-based imaging performs equally well as ultrasound in guiding heart procedures
American College of CardiologyMar 31 2025 Patients with narrowing of at least 50% in three major coronary arteries did equally well when treated with a minimally invasive stent placement guided either by ultrasound-based imaging or by a novel, artificial-intelligence-powered (AI), non-invasive
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Novel AI-powered imaging technique shows promise in evaluating patients for percutaneous coronary intervention
Patients with narrowing of at least 50% in three major coronary arteries did equally well when treated with a minimally invasive stent placement guided either by ultrasound-based imaging or by a novel, artificial-intelligence-powered (AI), non-invasive imaging technique derived from angiography,
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A novel AI-based imaging method called AngioFFR has shown comparable effectiveness to traditional ultrasound-guided techniques in directing percutaneous coronary interventions, potentially reducing the number of procedures needed.

A groundbreaking study presented at the American College of Cardiology's Annual Scientific Session (ACC.25) has demonstrated that a novel artificial intelligence-powered imaging technique performs as effectively as ultrasound in guiding heart procedures. The research, known as FLAVOUR II, was simultaneously published in The Lancet, marking a significant advancement in cardiac care
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.The FLAVOUR II study enrolled 1,872 patients across 22 medical centers in China, focusing on individuals with narrowing of at least 50% in three major coronary arteries. Patients were randomly assigned to undergo either AngioFFR-guided or IVUS-guided percutaneous coronary intervention (PCI)
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.AngioFFR, the AI-powered method, calculates fractional flow reserve (FFR) from a single-view angiogram, offering a non-invasive alternative to conventional FFR assessment. The study aimed to compare outcomes between patients treated with AngioFFR-guided PCI and those who received PCI guided by intravascular ultrasound (IVUS)
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.The primary endpoint, a composite of death, heart attack, or need for a repeat procedure at one year, was met with comparable results between the two groups:
Notably, patients in the AngioFFR group underwent approximately 10% fewer procedures (73.9% vs. 83.1%) while achieving similar clinical outcomes
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Dr. Jian'an Wang, the study's senior author, emphasized the significance of these findings: "This is the first such study to be conducted in patients with angiographically significant lesions. Patients whose evaluation was non-invasively guided by the novel, AI-powered technique underwent approximately 10% fewer procedures, and their outcomes were comparable with those for patients whose evaluation was guided by a commonly used ultrasound-based imaging technique"
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.The AngioFFR method offers several advantages over conventional FFR assessment:
These benefits could potentially increase the adoption of FFR assessment in clinical practice, leading to more precise treatment decisions for patients with coronary artery disease
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.While the results are promising, the researchers acknowledged some limitations:
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.To address these limitations and further validate the findings, Dr. Wang and his colleagues plan to follow the study participants for at least five years. This extended observation period will help evaluate any potential differences in long-term effectiveness between the two imaging techniques
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.As AI continues to make inroads in medical imaging and diagnostics, studies like FLAVOUR II demonstrate the potential for AI-powered tools to enhance patient care and streamline medical procedures in cardiology and beyond.
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