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Responsible artificial intelligence for coronary artery disease diagnosis: multinational external validation, hierarchical bivariate meta-analysis

31 August 2026 (11:35 - 11:45)
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Congress Presentation Part of: From pixels to prognosis: imaging, artificial intelligence, and the future of coronary artery disease diagnosis Angiography, Invasive Imaging ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Ali Rehman

Liaquat College of Medicine and Dentistry, Karachi (Pakistan)

5 More presentations in this session

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10 year hard outcomes in stable chest pain patients following stress echocardiography vs computed tomography coronary angiography: a retrospective propensity matched analysis
Doctor L. Wakefield (London, GB)
Abstract
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The impact of coronary sinus reducer on the extent of ischaemia in functional stress tests
Doctor S. Gefen (Tel Aviv, IL)
Abstract
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Coronary volume-to-left ventricular mass ratio as a predictor of agreement between myocardial perfusion- and invasive fractional flow reserve measurements
Mr M. Albertsen (Herning, DK)
Abstract
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Coronary inflammation quantified on contrast and non-contrast cardiac CT identifies high risk individuals independently from coronary calcification: implications for those with zero calcium score
Doctor K. Chan (Oxford, GB)
Abstract
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From gatekeeper to ground truth: a systematic meta-analysis and meta-regression of the "CT-First" strategy in chronic coronary syndromes
Doctor K. Vijay (Phoenix, US)
Abstract

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From pixels to prognosis: imaging, artificial intelligence, and the future of coronary artery disease diagnosis

The Event

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ESC Congress 2026

31 August 2026 11:35 CET
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