Health AI Central
Peer-Reviewed Publication
Eur Heart J Digit Health2026;7(6):ztag110.July 1, 2026Journal Article

The current state of artificial intelligence-based invasive coronary angiography image analysis: a systematic review.

Viktor O van der Valk1, Wouter P M van der Loo2, Nico Bruining3, Jouke Dijkstra1, Douwe E Atsma2, Marius Staring1, Roderick W C Scherptong2
1Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
2Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
3Thoraxcenter, Erasmus MC Rotterdam, Dr. Molenwaterplein 40, 3015 GD Rotterdam, The  Netherlands.
PubMed PMC DOI PDF

Abstract

Invasive coronary angiography (ICA) is the reference standard for diagnosing coronary artery disease and guiding percutaneous coronary intervention, yet clinical interpretation relies largely on visual assessment, which is variable and often requires additional invasive testing to assess functional significance. Artificial intelligence (AI)-based analysis of ICA images has emerged as a potential s…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Create Free AccountSign In

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.