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Medrxiv : the Preprint Server for Health Sciences
|
February 6, 2026
Artificial Intelligence-Enabled Echocardiographic Assessment of Right Ventricular Function
Márton Tokodi, Bryan He, Ádám Szijártó, et al.
Medrxiv : the Preprint Server for Health Sciences
|
February 20, 2025
A Multimodal Sleep Foundation Model Developed with 500K Hours of Sleep Recordings for Disease Predictions
Rahul Thapa, Magnus Ruud Kjær, Bryan He, et al.
Nature
|
April 10, 2020
Video-based AI for beat-to-beat assessment of cardiac function
David Ouyang, Bryan He, Amirata Ghorbani, et al.
Nature Medicine
|
January 6, 2026
A multimodal sleep foundation model for disease prediction
Rahul Thapa, Magnus Ruud Kjaer, Bryan He, et al.
Medrxiv : the Preprint Server for Health Sciences
|
November 19, 2025
Comprehensive aortic stenosis characterization using multi-view deep learning
Hirotaka Ieki, Yuki Sahashi, Miloš Vukadinovic, et al.
Nature Biotechnology
|
November 30, 2021
Super-resolved spatial transcriptomics by deep data fusion
Ludvig Bergenstråhle, Bryan He, Joseph Bergenstråhle, et al.
Nature
|
April 5, 2023
Blinded, randomized trial of sonographer versus AI cardiac function assessment
Bryan He, Alan C Kwan, Jae Hyung Cho, et al.
Ebiomedicine
|
October 17, 2021
Deep learning evaluation of biomarkers from echocardiogram videos
J Weston Hughes, Neal Yuan, Bryan He, et al.
JAMA Cardiology
|
February 23, 2022
High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy With Cardiovascular Deep Learning
Grant Duffy, Paul P Cheng, Neal Yuan, et al.
The Lancet. Digital Health
|
December 8, 2023
Electrocardiographic deep learning for predicting post-procedural mortality: a model development and validation study
David Ouyang, John Theurer, Nathan R Stein, et al.
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of 3
Search research articles
Search
Showing results (21-30 of 30) with videos related to
Sort By:
Page
of 3
You have reached the last page of results.
This site can display upto 30 results.
Medrxiv : the Preprint Server for Health Sciences
|
February 6, 2026
Artificial Intelligence-Enabled Echocardiographic Assessment of Right Ventricular Function
Márton Tokodi, Bryan He, Ádám Szijártó, et al.
Medrxiv : the Preprint Server for Health Sciences
|
February 20, 2025
A Multimodal Sleep Foundation Model Developed with 500K Hours of Sleep Recordings for Disease Predictions
Rahul Thapa, Magnus Ruud Kjær, Bryan He, et al.
Nature
|
April 10, 2020
Video-based AI for beat-to-beat assessment of cardiac function
David Ouyang, Bryan He, Amirata Ghorbani, et al.
Nature Medicine
|
January 6, 2026
A multimodal sleep foundation model for disease prediction
Rahul Thapa, Magnus Ruud Kjaer, Bryan He, et al.
Medrxiv : the Preprint Server for Health Sciences
|
November 19, 2025
Comprehensive aortic stenosis characterization using multi-view deep learning
Hirotaka Ieki, Yuki Sahashi, Miloš Vukadinovic, et al.
Nature Biotechnology
|
November 30, 2021
Super-resolved spatial transcriptomics by deep data fusion
Ludvig Bergenstråhle, Bryan He, Joseph Bergenstråhle, et al.
Nature
|
April 5, 2023
Blinded, randomized trial of sonographer versus AI cardiac function assessment
Bryan He, Alan C Kwan, Jae Hyung Cho, et al.
Ebiomedicine
|
October 17, 2021
Deep learning evaluation of biomarkers from echocardiogram videos
J Weston Hughes, Neal Yuan, Bryan He, et al.
JAMA Cardiology
|
February 23, 2022
High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy With Cardiovascular Deep Learning
Grant Duffy, Paul P Cheng, Neal Yuan, et al.
The Lancet. Digital Health
|
December 8, 2023
Electrocardiographic deep learning for predicting post-procedural mortality: a model development and validation study
David Ouyang, John Theurer, Nathan R Stein, et al.
Page
of 3