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David Ouyang, MD
@David_Ouyang
@KPNorcal Cardiologist • Data Scientist • Co-founder @InVision_AI • Deputy Editor @NEJM_AI
intentionalintelligence.substack.com
Joined January 2014
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    David Ouyang, MD
    @David_Ouyang
    Nov 11, 2025
    On the heels of #AHA25, EchoPrime is published in @Nature! EchoPrime has the strong performance in a wide range of echo interpretation tasks and is validated across 5 international hospitals. Led by @milos_ai and @bryandhe. 1/n
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    David Ouyang, MD
    @David_Ouyang
    Oct 15, 2024
    1/n We are excited to announce EchoPrime – the first echocardiography AI model capable of evaluating a full transthoracic echocardiogram study, identify the most relevant videos, and produce a comprehensive interpretation! Great work lead by @milos_ai, EchoPrime is the largest
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    David Ouyang, MD
    @David_Ouyang
    Oct 15, 2024
    1/n We are excited to announce EchoPrime – the first echocardiography AI model capable of evaluating a full transthoracic echocardiogram study, identify the most relevant videos, and produce a comprehensive interpretation! Great work lead by @milos_ai, EchoPrime is the largest
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    David Ouyang, MD
    @David_Ouyang
    Apr 5, 2023
    We are excited to announce that our blinded randomized clinical trial of AI LVEF (EchoNet-Dynamic) has been published in @Nature! @bryandhe @james_y_zou @StanfordDBDS @CedarsSinaiMed nature.com/articles/s4158… 1/n
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    Blinded, randomized trial of sonographer versus AI cardiac function assessment
    From nature.com
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    David Ouyang, MD
    @David_Ouyang
    Nov 5, 2021
    Excited to report some new findings! Additional analysis ongoing.
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    David Ouyang, MD
    @David_Ouyang
    Nov 27, 2019
    1/7 We’d like to share something interesting for machine learning in cardiology. We trained a neural network, EchoNet-Dynamic, to interpret #echofirst videos to trace the left ventricle and estimate ejection fraction. @bryandhe @euanashley @james_y_zou The results are striking:
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    David Ouyang, MD
    @David_Ouyang
    Aug 31, 2023
    📢Excited to announce EchoCLIP, or vision-language foundation #AI model for #echofirst interpretation. Using over 1,000,000 cardiac ultrasound videos paired with expert cardiologist interpretations, we enable #echofirst semantic search and zero-shot predictions. EchoCLIP can
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    David Ouyang, MD
    @David_Ouyang
    Aug 25, 2022
    🚨🚨🚨🚨🚨🚨 We are REALLY excited to present the results of EchoNet-RCT, the first BLINDED RANDOMIZED clinical trial of #AI technology in cardiology at #ESCCongress 2022 in TWO days. Late Breaking Clinical Trial Hot Line Session 3 Highlights of trial design include: 1/🧵
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    David Ouyang, MD
    @David_Ouyang
    Jun 16, 2021
    In anticipation of #ASE21 this weekend, we'd like to share this AI on #EchoFirst. This frame-to-frame measurement of PLAX was fully automated by EchoNet-LVH. More examples and preprint soon! @ASE360 @CedarsSinai
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    David Ouyang, MD
    @David_Ouyang
    Apr 30, 2024
    Excited to share our #echofirst foundation model is now published in @NatureMedicine! Trained on 1M @CedarsSinai A4C echo-report pairs, EchoCLIP has strong performance on wide range of cardiac diagnostic benchmarks, including LVEF in @StanfordMed videos (MAE 7.1%).
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    Eric Topol
    @EricTopol
    Apr 30, 2024
    What happens when you use >1 million echo video clips with expert interpretation to train an #AI? nature.com/articles/s4159… Nice advance by @David_Ouyang and colleagues @CedarsSinai @CedarsSinaiMed @NatureMedicine
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    David Ouyang, MD
    @David_Ouyang
    Feb 23, 2022
    1/8 Using deep learning, we design and implement an AI pipeline for rare disease screening. Published today in @JAMACardio. Led by Grant Duffy, @Paul_P_Cheng and @yuanneal, co-supervised by Dr. Susan Cheng. jamanetwork.com/journals/jamac…
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    David Ouyang, MD
    @David_Ouyang
    Sep 27, 2019
    It’s alive! And no human traced this. Teaser for what’s coming soon!
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    David Ouyang, MD
    @David_Ouyang
    Mar 25, 2020
    We are excited to announce that EchoNet-Dynamic, our video-based deep learning model for interpreting echocardiogram videos have been published in @Nature. @bryandhe @euanashley @james_y_zou @Stanford 1/8 nature.com/articles/s4158…
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    David Ouyang, MD
    @David_Ouyang
    Mar 20, 2025
    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
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    David Ouyang, MD
    @David_Ouyang
    Mar 5, 2025
    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 good, robust models tend to have consistent measurements across the
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    David Ouyang, MD
    @David_Ouyang
    Dec 18, 2024
    This year, our lab was very fortunate to receive two @nih_nhlbi R01 awards to support our work in AI in #echofirst. We believe AI is a generational transformative technology and we are excited to be at the forefront of its application in cardiovascular medicine.
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