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Early detection of atrial fibrillation risks from ECG: uncovering the role of hidden cardiomyopathy using atrial modelling and artificial intelligence

Session: Predictive analytics in digital health: a new era of risk stratification
Topic: In-Silico Medicine and Virtual Physiologic Patient
Speaker: Miss C. Spota (London, GB)
Event: ESC Congress 2025

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Miss Chiara Spota

London (United Kingdom of Great Britain & Northern Ireland)
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4 more presentations in this session

Enhancing atherosclerosis risk prediction with strategic feature and case selections in large language model

Speaker: Mr H. Murase (Yokohama, JP)

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Type 2 diabetes and the individual perception of risk for cardiovascular death in coronary artery disease patients

Speaker: Doctor B. Larcher (Feldkirch, AT)

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Comparative effectiveness of atrial fibrillation screening guided by age versus estimated risk: a decision-analytic model

Speaker: Doctor D. Kim (Boston, US)

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Robotic process automation versus manual screening to identify patients at risk for perioperative myocardial infarction/Injury: a prospective, single-blinded, paired reader-controlled trial

Speaker: Doctor K. Durak (Basel, CH)

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Predictive analytics in digital health: a new era of risk stratification

Speakers: Miss C. Spota, Mr H. Murase, Doctor B. Larcher, Doctor D. Kim, Doctor K. Durak
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ESC Congress 2025

29 August - 1 September 2025

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