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Cardiologist user experience of artificial intelligence-based quantitative coronary angiography

Ohchul Kwon1, Hyuck-Jun Yoon2, Jung-Hee Lee3

  • 1Cardiovascular Center, Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Republic of Korea.

Cardiovascular Diagnosis and Therapy
|January 9, 2026
PubMed
Summary

Artificial intelligence-assisted quantitative coronary angiography (AI-QCA) offers an automated, objective assessment of coronary artery stenosis. Cardiologists found AI-QCA feasible and helpful in the cath lab, with acceptable user experience and minimal time investment.

Keywords:
Artificial intelligence-assisted quantitative coronary angiography (AI-QCA)coronary angiography (CAG)coronary artery diseasepercutaneous coronary intervention (PCI)

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