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Automated measurement of ascending aortic diameters and detection of thoracic aortic aneurysm with a deep learning approach on routine chest radiographs

Session: Artificial intelligence in cardiac imaging: transforming diagnosis and treatment strategies
Topic: X-ray and Angiography
Speaker: Doctor K. Kim (Incheon, KR)
Event: ESC Congress 2025

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Doctor Kyung Hee Kim

Incheon Sejong Hospital, Incheon (Korea (Republic of))
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9 more presentations in this session

Artificial intelligence enables the quantification of aortic valve calcium in echocardiography

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The discrepancy between machine-estimated age from transthoracic echocardiography and chronological age as a key predictor of increased risk for new-onset atrial fibrillation

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Automatic left-ventricular view detection and ejection fraction assessment by artificial intelligence models in echocardiography

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A systematic evaluation of open-source large language models for automated extraction of cardiac MRI parameters from unstructured reports

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LLM powered echocardiography report structuring: a step towards precision medicine

Speaker: Mr W. Van Der Loo (Leiden, NL)

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Access the full session

Artificial intelligence in cardiac imaging: transforming diagnosis and treatment strategies

Speakers: Doctor K. Kim, Mr P. Lopez-Gutierrez, Doctor K. Faierstein, Mr P. Lopez-Gutierrez, Mr S. Wahi...
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ESC Congress 2025

29 August - 1 September 2025

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