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End-to-end deep learning on coronary angiographic video predicts in-stent restenosis at dual peri-procedural time points

29 August 2026 (12:15 - 12:30)
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Congress Presentation Part of: Young Investigator Award Session in Artificial Intelligence in Cardiology Deep Learning ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Zhengqing Ba

State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular D, Beijing (China)

3 More presentations in this session

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Development and validation of a novel prediction model integrating AI-ECG and 0h high-sensitivity cardiac troponin T for immediate rule-out of acute myocardial infarction
Miss T. Tsao (Basel, CH)
Abstract
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AI-empowered OCT is non-inferior to IVUS for media and plaque burden quantification: head-to-head histopathology validation using human coronary arteries
Doctor J. Huang (Shanghai, CN)
Abstract
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Unsupervised machine-learning identifies cardio-kidney-metabolic phenotypes and determines residual risk after acute coronary syndromes
Miss Y. Wang (Zurich, CH)
Abstract

Access the full session

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Young Investigator Award Session in Artificial Intelligence in Cardiology

The Event

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ESC Congress 2026

29 August 2026 12:15 CET
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