ESC 365 - Professor Geoffrey Strange

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Professor Geoffrey Strange

The University of Notre Dame, Sydney (Australia)

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Presentations Articles

Heart Failure detection using Artificial Intelligence for diagnostic decision support applied to echocardiography - HFDetect-AI

Event: ESC Congress 2024

Topic: Imaging

Session: Registries, observational, and other studies on artificial intelligence

DASE-AI: Detect Aortic Stenosis by Echo with Artificial Intelligence

Event: ESC Congress 2023

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: Late-breaking science on imaging

AI-ENHANCED detection of Aortic Stenosis.

Event: ESC Congress 2022

Topic: Artificial Intelligence (Machine Learning, Deep Learning)

Session: HOT LINE SESSION 6

Change in ejection fraction and mortality in 117,275 cases

Event: ESC Congress 2020

Topic: Heart Failure with Reduced Ejection Fraction (HFrEF)

Session: Late-Breaking Science in Chronic Heart Failure 2

Artificial intelligence (AI) and echocardiography: a training model using real world data.

Event: EuroEcho 2019

Topic: Echocardiography, Other

Session: Artificial intelligence demystified

Prognostic implications of moderate aortic stenosis among 247,353 individuals: Insights from the National Echocardiography Database of Australia Study

Event: ESC Congress 2019

Topic: Aortic Valve Stenosis

Session: Late Breaking Science in Aortic Valve Stenosis

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