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Artificial Intelligence, clinicians, and augmented intelligence for heart failure diagnosis: a hierarchical bivariate meta-analysis of diagnostic accuracy

31 August 2026 (11:15 - 12:00)
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Congress Presentation Part of: The newest diagnostic tools for heart failure using biomarkers Diagnostic Methods 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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Description, feasibility, and effectiveness of a coordinated care pathway for patients with suspected heart failure in the emergency department: a tertiary center experience
Mr I. Bellavista Crespo (Girona, ES)
Abstract
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Cardiac biomarkers-based screening in patients with diabetes mellitus at a population level
Doctor M. Win (Dundee, GB)
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Circulating secretoneurin concentrations predict cardiac arrythmia and mortality in patients with acute tachypnea: data from the akershus cardiac examination 4 study
Doctor M. Lyngbakken (Nordbyhagen, NO)
Abstract
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Improved prognostic power in acute breathlessness using NT-proBNP plus novel biomarker combinations
Doctor J. Chew-Harris (Christchurch, NZ)
Abstract
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Deep learning analysis of contactless facial video and remote photoplethysmography for acute heart failure detection
Mr Y. Teo (Singapore, SG)
Abstract

Access the full session

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The newest diagnostic tools for heart failure using biomarkers

The Event

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ESC Congress 2026

31 August 2026 11:15 CET
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