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In-silico insights into the role of patient-specific fibrosis in personalised therapy selection for atrial fibrillation

Session: Applying artificial intelligence and digital tools for interpretation of complex clinical data
Topic: In-Silico Medicine and Virtual Physiologic Patient
Speaker: Miss S. Misghina (London, GB)
Event: ESC Congress 2025

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Miss Semhar Misghina

Queen Mary University of London, London (United Kingdom of Great Britain & Northern Ireland)
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Specificity of artificial intelligence-enhanced electrocardiography for diagnosis and prediction of cardiovascular disorders

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Are experts in agreement? A comprehensive study on consensus in echocardiographic view identification

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Adapting AI for 24/7 ECG monitoring: Holter-based detection of LV dysfunction

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The role of purkinje fibres in ventricular tachycardia susceptibility & dynamics: a biventricular digital twin study

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Applying artificial intelligence and digital tools for interpretation of complex clinical data

Speakers: Miss S. Misghina, Mr P. Croon, Ms N. Van Steijn, Ms E. Giraldo Del Viejo, Doctor D. Hu...
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ESC Congress 2025

29 August - 1 September 2025

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