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Knowledge-distilled AI exceeds expert accuracy in hypertensive retinopathy grading: multinational validation for cardiovascular risk prediction

31 August 2026 (13:45 - 13:55)
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Congress Presentation Part of: Blood pressure phenotypes and outcomes Blood Pressure Measurement ESC2026 Premium Access ESC Congress 2026 European Society of Cardiology

About the speaker

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Doctor Ali Rehman

Liaquat College of Medicine and Dentistry, Karachi (Pakistan)

5 More presentations in this session

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SBP-hyper-burden: a novel predictor of cardiovascular mortality in patients undergoing maintenance hemodialysis
Doctor J. Tang (Shanghai, CN)
Abstract
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Global and regional patterns in hypertension phenotypes by age and sex among 246,401 untreated hypertensive adults: a cross-sectional analysis of three May Measurement Month campaigns (2021-2023)
Doctor X. Wang (Beijing, CN)
Abstract
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Does outdoor temperature modify the prognostic value of 24-hour ambulatory systolic blood pressure? the IDACO Study
Ms Y. Wang (Shanghai, CN)
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Blood pressure response profiles during graded exercise predict new-onset hypertension
Assistant Professor N. Cauwenberghs (Leuven, BE)
Abstract
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Integrative interpretation of the central aortic pressure waveform for cardiovascular outcome prediction: a machine learning approach
Mr E. Santana (Leuven, BE)
Abstract

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Blood pressure phenotypes and outcomes

The Event

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ESC Congress 2026

31 August 2026 13:45 CET
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