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An explainable and data-driven approach for coronary artery tortuosity quantification

1 September 2025 (12:15 - 13:00)
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Congress Presentation Part of: Application of artificial intelligence in cardiac-computed tomography Technology ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Miss Michela Ferrari

University of Pavia, Pavia (Italy)

6 More presentations in this session

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Optimization of pre-test probability models for obstructive coronary artery disease using explainable artificial intelligence.
Mr J. Hennecken (Amsterdam, NL)
Abstract Slides Video
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A novel artificial intelligence-powered framework for predicting coronary artery calcium score from non-gated computed tomography
Doctor Y. Nozaki (Tokyo, JP)
Abstract Slides Video
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AI-driven opportunistic screening for coronary artery calcification on non-gated CT: 1-year follow-up results from Nanox AI
Doctor J. Awesat (Petah Tikva, IL)
Abstract Slides Video
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Clinical application of artificial intelligence-assisted pulmonary vascular imaging in pulmonary hypertension associated with left heart disease
Doctor Y. Zeng (Shanghai, CN)
Abstract Slides Video
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Diagnostic performance of a novel AI algorithm for determining coronary ischemia (AI-QCT ISCHEMIA) according to patient comorbidities
Doctor K. Kim (Seoul, KR)
Abstract Slides Video

Access the full session

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Application of artificial intelligence in cardiac-computed tomography

The Event

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ESC Congress 2025

1 September 2025 12:15 CET
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