David Ouyang, MD
@davidouyang.bsky.social
Cardiologist, Data Scientist, AI researcher
We are excited to announce EchoPrime is published in Nature. EchoPrime is the first echocardiography AI model capable of evaluating a full transthoracic echocardiogram study, identify the most relevant videos, and produce a comprehensive interpretation!
November 17, 2025 at 2:38 AM
We are excited to announce EchoPrime is published in Nature. EchoPrime is the first echocardiography AI model capable of evaluating a full transthoracic echocardiogram study, identify the most relevant videos, and produce a comprehensive interpretation!
Reposted by David Ouyang, MD
Echocardiography is one of the most complex medical image sets to analyze, with multiple views + cardiac motion. A new
@nature.com
paper shows how A.I. can do that and provide accurate reports
@davidouyang.bsky.social
nature.com/articles/s41...
@nature.com
paper shows how A.I. can do that and provide accurate reports
@davidouyang.bsky.social
nature.com/articles/s41...
November 12, 2025 at 3:29 PM
Echocardiography is one of the most complex medical image sets to analyze, with multiple views + cardiac motion. A new
@nature.com
paper shows how A.I. can do that and provide accurate reports
@davidouyang.bsky.social
nature.com/articles/s41...
@nature.com
paper shows how A.I. can do that and provide accurate reports
@davidouyang.bsky.social
nature.com/articles/s41...
Congratulations to Sarnoff Fellow Victoria Yuan on her new preprint 'Automated Deep Learning Pipeline for Characterizing Left Ventricular Diastolic Function'!
May 4, 2025 at 4:12 AM
Congratulations to Sarnoff Fellow Victoria Yuan on her new preprint 'Automated Deep Learning Pipeline for Characterizing Left Ventricular Diastolic Function'!
1/n Excited to announce work by Dr. @BinderRodriguez
from @MedUni_Wien on the AI automated assessment of Aortic Regurgitation (AR) on #echofirst using 59,500 videos from @smidtheart.bsky.social. Lead by Dr. Bob Siegel.
from @MedUni_Wien on the AI automated assessment of Aortic Regurgitation (AR) on #echofirst using 59,500 videos from @smidtheart.bsky.social. Lead by Dr. Bob Siegel.
March 25, 2025 at 10:07 PM
1/n Excited to announce work by Dr. @BinderRodriguez
from @MedUni_Wien on the AI automated assessment of Aortic Regurgitation (AR) on #echofirst using 59,500 videos from @smidtheart.bsky.social. Lead by Dr. Bob Siegel.
from @MedUni_Wien on the AI automated assessment of Aortic Regurgitation (AR) on #echofirst using 59,500 videos from @smidtheart.bsky.social. Lead by Dr. Bob Siegel.
1/n We are thrilled to present EchoNet-Measurements, an open source, comprehensive AI platform for automated #echofirst measurements.
Using more than 1,414,709 annotations from 155,215 studies from 78,037 patients for training, this is the most comprehensive #echofirst segmentation model.
Using more than 1,414,709 annotations from 155,215 studies from 78,037 patients for training, this is the most comprehensive #echofirst segmentation model.
March 20, 2025 at 10:33 PM
1/n We are thrilled to present EchoNet-Measurements, an open source, comprehensive AI platform for automated #echofirst measurements.
Using more than 1,414,709 annotations from 155,215 studies from 78,037 patients for training, this is the most comprehensive #echofirst segmentation model.
Using more than 1,414,709 annotations from 155,215 studies from 78,037 patients for training, this is the most comprehensive #echofirst segmentation model.
Reposted by David Ouyang, MD
A new article highlights an #AI algorithm that screens for chronic liver diseases in patients undergoing transthoracic echocardiography studies, using standard subcostal images routinely obtained to evaluate the inferior vena cava. Full article: nejm.ai/3XJuPNl
#MedSky #MLSky
#MedSky #MLSky
March 7, 2025 at 4:59 PM
A new article highlights an #AI algorithm that screens for chronic liver diseases in patients undergoing transthoracic echocardiography studies, using standard subcostal images routinely obtained to evaluate the inferior vena cava. Full article: nejm.ai/3XJuPNl
#MedSky #MLSky
#MedSky #MLSky
New preprint by @SarnoffCardio and @dgsomucla Victoria Yuan:
There are new therapies for obstructive HCM, however obstruction is frequently missed. Extra #echofirst work is required to eval for obstruction.
We develop an AI model on standard A4C videos to identify patients w/ obstruction.
There are new therapies for obstructive HCM, however obstruction is frequently missed. Extra #echofirst work is required to eval for obstruction.
We develop an AI model on standard A4C videos to identify patients w/ obstruction.
March 7, 2025 at 9:03 PM
New preprint by @SarnoffCardio and @dgsomucla Victoria Yuan:
There are new therapies for obstructive HCM, however obstruction is frequently missed. Extra #echofirst work is required to eval for obstruction.
We develop an AI model on standard A4C videos to identify patients w/ obstruction.
There are new therapies for obstructive HCM, however obstruction is frequently missed. Extra #echofirst work is required to eval for obstruction.
We develop an AI model on standard A4C videos to identify patients w/ obstruction.
Consistency - one of the most useful heuristics of whether a medical AI model is good or not.
I've noticed that AI models trained on small datasets tend to jitter - jumping a lot from frame to frame - while robust models tend to have consistent measurements across the entire video.
Coming soon...
I've noticed that AI models trained on small datasets tend to jitter - jumping a lot from frame to frame - while robust models tend to have consistent measurements across the entire video.
Coming soon...
March 5, 2025 at 12:04 AM
Consistency - one of the most useful heuristics of whether a medical AI model is good or not.
I've noticed that AI models trained on small datasets tend to jitter - jumping a lot from frame to frame - while robust models tend to have consistent measurements across the entire video.
Coming soon...
I've noticed that AI models trained on small datasets tend to jitter - jumping a lot from frame to frame - while robust models tend to have consistent measurements across the entire video.
Coming soon...
Reposted by David Ouyang, MD
Original Article: Development and Evaluation of a Model to Manage Patient Portal Messages nejm.ai/3XmIx8m
Original Article: Opportunistic Screening of Chronic Liver Disease with Deep-Learning–Enhanced Echocardiography nejm.ai/3XJuPNl
Original Article: Opportunistic Screening of Chronic Liver Disease with Deep-Learning–Enhanced Echocardiography nejm.ai/3XJuPNl
February 28, 2025 at 5:46 PM
Original Article: Development and Evaluation of a Model to Manage Patient Portal Messages nejm.ai/3XmIx8m
Original Article: Opportunistic Screening of Chronic Liver Disease with Deep-Learning–Enhanced Echocardiography nejm.ai/3XJuPNl
Original Article: Opportunistic Screening of Chronic Liver Disease with Deep-Learning–Enhanced Echocardiography nejm.ai/3XJuPNl
Reposted by David Ouyang, MD
Hey! I'm new here, but into science. Here's a paper that we just published (today) which uses deep learning on echocardiography to identify liver disease on subcostal views. I'm hoping that this type of cross-organ / somewhat multi-modal approaches inspires people! ai.nejm.org/stoken/defau...
Opportunistic Screening of Chronic Liver Disease with Deep-Learning–Enhanced Echocardiography
Chronic liver disease (CLD) affects more than 1.5 billion adults, most of whom are asymptomatic and undiagnosed. Echocardiography is broadly performed and visualizes the liver, but this information...
urldefense.com
February 27, 2025 at 7:08 PM
Hey! I'm new here, but into science. Here's a paper that we just published (today) which uses deep learning on echocardiography to identify liver disease on subcostal views. I'm hoping that this type of cross-organ / somewhat multi-modal approaches inspires people! ai.nejm.org/stoken/defau...