
Heartflow's AI Plaque Analysis software leads to significant improvements in cholesterol management and cardiac risk reduction in coronary artery disease patients.
Key Details
- 1DECIDE Registry, the largest prospective study of its kind, enrolled ~20,000 CAD patients at 30+ US clinical sites.
- 2Heartflow AI Plaque Analysis prompted treatment changes in over 50% of patients versus CCTA alone.
- 3Patients managed using the software saw mean LDL cholesterol reductions of 18.7 mg/dL.
- 4A 15% estimated reduction in cardiac event risk was observed for these patients.
- 5Significant management changes occurred even in patients with no calcified plaque.
- 6The AI provides individualized risk insights by quantifying and characterizing all plaque types, including non-calcified, soft plaques.
Why It Matters

Source
Cardiovascular Business
Related News

AI Model Predicts Dosimetry for Lu-177 PSMA Therapy Using PET/CT
A machine learning PET/CT model shows promise for predicting radiation dose prior to Lu-177 PSMA therapy in prostate cancer patients.

Human-AI Collaboration Achieves 99.2% Sensitivity for PE Detection in CTPA
A large study confirms that combining radiologists with FDA-cleared AI significantly improves pulmonary embolism detection on CTPA.

Radiologist-AI Collaboration Boosts Pulmonary Embolism Detection on CTPA
Combining AI with radiologists substantially improves detection of pulmonary embolism (PE) on CT pulmonary angiography (CTPA) scans, new research shows.