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Machine learning-based identification of clinical phenotypes and prognostic stratification in ANOCA patients

29 August 2025 (12:15 - 13:00)
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Congress Presentation Part of: Artificial Intelligence in echocardiography Stress Echocardiography ESC Professional Premium Access ESC Congress 2025 European Society of Cardiology

About the speaker

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Doctor Mengmeng Li

Qi-Lu Hospital of Shandong University School of Medicine, Jinan (China)

6 More presentations in this session

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Multicenter study on the diagnostic accuracy of left ventricular hypertrophy using a fully automated echocardiographic analysis system with artificial intelligence
Ms Y. Nomura (Tokushima, JP)
Abstract Slides Video
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Detection of vegetations in transesophageal echocardiographic images of patients with infective endocarditis using artificial intelligence
Mr D. Pinilla (Valladolid, ES)
Abstract Slides Video
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Artificial intelligence-based model can distinguish patients from healthy volunteers based on natural shear wave properties
Doctor K. Bamps (Leuven, BE)
Abstract Slides Video
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Pre-procedural assessment of left atrial appendage occlusion using an AI-driven imaging software
Doctor M. Gatto (Rome, IT)
Abstract Slides Video
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Real-time guidance and automated measurements to improve echocardiographic assessment of left ventricular size and function
Mr S. Sabo (Trondheim, NO)
Abstract Slides Video

Access the full session

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Artificial Intelligence in echocardiography

The Event

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ESC Congress 2025

29 August 2025 12:15 CET
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ESC 365 is supported by

novartis Explore sponsored resources