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Predicting atrial fibrillation within 7 years follow-up using machine learning models

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Miss Konstantina-Helen Tsarapatsani

Ioannina (Greece)
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8 more presentations in this session

Machine learning identifies individuals at higher risk of incident cardio-renal-metabolic diseases and cardiovascular death who have unrealised opportunities to reduce future cardiovascular risk

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The relationship between retinal vascular parameters measured by artificial intelligence and the risk of new-onset cardiovascular disease in a Chinese community-based population

Speaker: Doctor F. Fan (Beijing, CN)

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The association between cardiovascular health and physiologic age as determined by artificial intelligence-enabled electrocardiography

Speaker: Doctor L. Ortega Aviles (Rochester, US)

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Coronary artery calcium scans powered by artificial intelligence (AI-CAC) predicts atrial fibrillation and stroke comparably to cardiac magnetic resonance imaging: MESA

Speaker: Doctor M. Naghavi (Houston, US)

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Opportunistic screening of coronary artery calcification on non-gated conventional CT scans using artificial intelligence

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Access the full session

Machine learning in preventive cardiology

Speakers: Miss K. Tsarapatsani, Doctor M. Haris, Doctor F. Fan, Doctor L. Ortega Aviles, Doctor M. Naghavi...
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About the event

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ESC Congress 2024

30 August - 2 September 2024

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