Professor Geoffrey Strange
The University of Notre Dame, Sydney (Australia)
Member of:
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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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