David Ouyang, MD(@David_Ouyang) 's Twitter Profileg
David Ouyang, MD

@David_Ouyang

Cardiologist @CedarsSinai • Co-founder @InVision_AI • Deputy Editor @NEJM_AI • Computer Vision, AI/ML, Data Science

ID:2301842168

linkhttps://intentionalintelligence.substack.com/ calendar_today20-01-2014 18:33:01

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3,8K Followers

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UCSF CoDEx(@UCSF_CoDEx) 's Twitter Profile Photo

Join the Health AI Partnership Real-World AI symposium event tomorrow at 12:30 p.m. PDT as David Ouyang, MD discusses a project to evaluate the implementation of an tool meant to help detect underdiagnosed cardiac amyloidosis, a rare fatal disease. healthaipartnership.org/real-world-ai-…

Join the Health AI Partnership Real-World AI symposium event tomorrow at 12:30 p.m. PDT as @David_Ouyang discusses a project to evaluate the implementation of an #AI tool meant to help detect underdiagnosed cardiac amyloidosis, a rare fatal disease. healthaipartnership.org/real-world-ai-…
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Nature Medicine(@NatureMedicine) 's Twitter Profile Photo

Vision–language models can be trained to read cardiac ultrasound images, with implications for improving clinical workflows. Read the News and Views from Rima Arnaout UCSF School of Medicine
nature.com/articles/s4159…

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Eric Topol(@EricTopol) 's Twitter Profile Photo

What happens when you use >1 million echo video clips with expert interpretation to train an ?
nature.com/articles/s4159…
Nice advance by David Ouyang, MD and colleagues Cedars-Sinai Cedars-SinaiMed Nature Medicine

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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npj Digital Medicine(@npjDigitalMed) 's Twitter Profile Photo

Deep learning of ECGs can help identify patients with hidden better than predictions based on clinical risk factors & echo measurements.

This may offer additional opportunities to guide patient screening & support early intervention.

nature.com/articles/s4174…

Deep learning of ECGs can help identify patients with hidden #atrialfibrillation better than predictions based on clinical risk factors & echo measurements. This may offer additional opportunities to guide patient screening & support early intervention. nature.com/articles/s4174…
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Cedars-Sinai Academic Medicine(@CedarsSinaiMed) 's Twitter Profile Photo

An innovation from The Smidt Heart Institute at Cedars-Sinai is making heart ultrasounds more consistent and reliable by addressing variability in cardiac imaging.

Read more. ⬇️
ceda.rs/3xjnU2J

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