An AI tool analyzing CCTA images can predict future cardiovascular events and death in patients with suspected stable coronary artery disease.
Key Details
- 1The FISH&CHIPS study involved 7,836 patients who underwent AI-derived FFR-CT analysis from an initial 90,553 receiving CCTA.
- 2Lower FFR-CT values correlated with significantly increased rates of MI, cardiovascular death, and all-cause mortality independent of traditional risk factors.
- 3Patients with severely reduced FFR-CT had a four-fold risk of heart attack and triple risk of death versus those with normal values.
- 4The FFR-CT AI analysis (by HeartFlow) provided additive prognostic value over classical cardiovascular risk scores.
- 5This is the first large-scale evidence of FFR-CT's independent prognostic power in stable CAD.
- 6Study funded by UK MRC; HeartFlow provided analysis but did not fund or direct the study.
Why It Matters
This research demonstrates real-world prognostic utility for AI-based imaging tools in cardiovascular risk prediction, supporting expanded adoption of AI-enhanced CT in personalized patient management and reducing unnecessary procedures.
Source
EurekAlert
Related News
•EurekAlert
AI Pathology Tool SÉMIL Improves Stage II Bowel Cancer Risk Assessment
A La Trobe University-developed AI tool accurately predicts relapse risk in stage II bowel cancer using digital pathology images and descriptions.
•EurekAlert
AI Tool Predicts Which Rectal Cancer Patients Benefit from Intensive Therapy
UCL researchers developed an AI that analyzes biopsy slides to identify rectal cancer patients who benefit from adding irinotecan to standard chemoradiotherapy.
•EurekAlert
AI-Guided Handheld Cardiac Ultrasound Reduces Referrals and Costs in Spain
AI-guided handheld cardiac ultrasound enables primary care physicians to detect heart failure, reducing specialist referrals and saving costs.