ESC 365 - Machine learning for severe coronary artery disease: classification performance for screening and individualized risk prediction

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Machine learning for severe coronary artery disease: classification performance for screening and individualized risk prediction

Session: Chronic coronary syndromes: artificial intelligence and other techniques

Topic: Noninvasive Diagnostic Methods

Speaker: Doctor C. Al Hageh (Abu Dhabi, AE)

Event: ESC Congress 2025

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Doctor Cynthia Al Hageh

Khalifa University, Abu Dhabi (United Arab Emirates)

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6 more presentations in this session

Development and validation of a machine learning-based explainable predictive model for long-term outcomes in patients with high bleeding risk undergoing percutaneous coronary intervention

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Machine learning to simplify complex coronary small vessel diagnostics

Speaker: Doctor D. Tan (Glasgow, GB)

Noninvasive diagnosis of ischemia non-obstructive coronary using machine learning-assisted magnetocardiography

Speaker: Mr X. Xu (Shanghai, CN)

Discharge assessment of elderly patients with coronary heart disease based on machine learning

Speaker: Doctor S. Yan (Beijing, CN)

Real-world insights from an AI-ECG decision support platform: AI vs. blinded HCP STEMI ECG interpretation

Speaker: Doctor T. Kisova (Rome, IT) Doctor A. Demolder (Aalst, BE)

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Chronic coronary syndromes: artificial intelligence and other techniques

Speakers: Doctor C. Al Hageh, Doctor J. Zhang, Doctor D. Tan, Mr X. Xu, Doctor S. Yan...

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ESC Congress 2025

29 August - 1 September 2025

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