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Development of a deep learning model for diagnosing cardiomyopathies using hematoxylin and eosin-stained myocardial biopsy images

Congress Presentation

About the speaker

Doctor Munekazu Tanaka

Kyoto University Graduate School of Medicine, Kyoto (Japan)
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7 more presentations in this session

Optimization of pre-test probability models for obstructive coronary artery disease using explainable artificial intelligence.

Speaker: Mr J. Hennecken (Amsterdam, NL)

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A novel artificial intelligence-powered framework for predicting coronary artery calcium score from non-gated computed tomography

Speaker: Doctor Y. Nozaki (Tokyo, JP)

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

Speaker: Miss M. Ferrari (Pavia, IT)

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AI-driven opportunistic screening for coronary artery calcification on non-gated CT: 1-year follow-up results from Nanox AI

Speaker: Doctor J. Awesat (Petah Tikva, IL)

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Clinical application of artificial intelligence-assisted pulmonary vascular imaging in pulmonary hypertension associated with left heart disease

Speaker: Doctor Y. Zeng (Shanghai, CN)

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Application of artificial intelligence in cardiac-computed tomography

Speakers: Doctor M. Tanaka, Mr J. Hennecken, Doctor Y. Nozaki, Miss M. Ferrari, Doctor J. Awesat...
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ESC Congress 2025

29 August - 1 September 2025

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