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David Ouyang

Showing results (111-120 of 162) with videos related to

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Frontiers in Cardiovascular Medicine|November 3, 2022
Cardiovascular and hepatic disease associations by magnetic resonance imaging: A retrospective cohort studyAlan C Kwan, Nancy Sun, Matthew Driver, et al.
Medrxiv : the Preprint Server for Health Sciences|February 12, 2026
Deep Learning-Enabled Screening of Chronic Kidney Disease from EchocardiographyVictoria Yuan, Hirotaka Ieki, Alexander Sandhu, et al.
European Heart Journal. Digital Health|July 31, 2024
Simple models vs. deep learning in detecting low ejection fraction from the electrocardiogramJohn Weston Hughes, Sulaiman Somani, Pierre Elias, et al.
Medrxiv : the Preprint Server for Health Sciences|November 19, 2025
Comprehensive aortic stenosis characterization using multi-view deep learningHirotaka Ieki, Yuki Sahashi, Miloš Vukadinovic, et al.
JACC. Clinical Electrophysiology|October 10, 2024
Serum Potassium Monitoring Using AI-Enabled Smartwatch ElectrocardiogramsI-Min Chiu, Po-Jung Wu, Huan Zhang, et al.
Medrxiv : the Preprint Server for Health Sciences|April 8, 2025
Artificial Intelligence Prediction of Age from Echocardiography as a Marker for Cardiovascular DiseaseMeenal Rawlani, Hirotaka Ieki, Christina Binder, et al.
JACC. Advances|September 18, 2025
International Validation of Echocardiographic Artificial Intelligence Amyloid Detection AlgorithmGrant Duffy, Evangelos K Oikonomou, Nicholas Easton, et al.
Eclinicalmedicine|June 16, 2022
Variability independent of mean blood pressure as a real-world measure of cardiovascular riskJoseph E Ebinger, Matthew Driver, David Ouyang, et al.
Communications Medicine|May 26, 2023
Deep learning-based electrocardiographic screening for chronic kidney diseaseLauri Holmstrom, Matthew Christensen, Neal Yuan, et al.
Scientific Reports|January 21, 2024
Blood pressure variability supersedes heart rate variability as a real-world measure of dementia riskJoseph E Ebinger, Matthew P Driver, Tzu Yu Huang, et al.
Pageof 17

Showing results (111-120 of 162) with videos related to

Sort By:
Pageof 17
Frontiers in Cardiovascular Medicine|November 3, 2022
Cardiovascular and hepatic disease associations by magnetic resonance imaging: A retrospective cohort studyAlan C Kwan, Nancy Sun, Matthew Driver, et al.
Medrxiv : the Preprint Server for Health Sciences|February 12, 2026
Deep Learning-Enabled Screening of Chronic Kidney Disease from EchocardiographyVictoria Yuan, Hirotaka Ieki, Alexander Sandhu, et al.
European Heart Journal. Digital Health|July 31, 2024
Simple models vs. deep learning in detecting low ejection fraction from the electrocardiogramJohn Weston Hughes, Sulaiman Somani, Pierre Elias, et al.
Medrxiv : the Preprint Server for Health Sciences|November 19, 2025
Comprehensive aortic stenosis characterization using multi-view deep learningHirotaka Ieki, Yuki Sahashi, Miloš Vukadinovic, et al.
JACC. Clinical Electrophysiology|October 10, 2024
Serum Potassium Monitoring Using AI-Enabled Smartwatch ElectrocardiogramsI-Min Chiu, Po-Jung Wu, Huan Zhang, et al.
Medrxiv : the Preprint Server for Health Sciences|April 8, 2025
Artificial Intelligence Prediction of Age from Echocardiography as a Marker for Cardiovascular DiseaseMeenal Rawlani, Hirotaka Ieki, Christina Binder, et al.
JACC. Advances|September 18, 2025
International Validation of Echocardiographic Artificial Intelligence Amyloid Detection AlgorithmGrant Duffy, Evangelos K Oikonomou, Nicholas Easton, et al.
Eclinicalmedicine|June 16, 2022
Variability independent of mean blood pressure as a real-world measure of cardiovascular riskJoseph E Ebinger, Matthew Driver, David Ouyang, et al.
Communications Medicine|May 26, 2023
Deep learning-based electrocardiographic screening for chronic kidney diseaseLauri Holmstrom, Matthew Christensen, Neal Yuan, et al.
Scientific Reports|January 21, 2024
Blood pressure variability supersedes heart rate variability as a real-world measure of dementia riskJoseph E Ebinger, Matthew P Driver, Tzu Yu Huang, et al.
Pageof 17