David Ouyang, MD (@david_ouyang) 's Twitter Profile
David Ouyang, MD

@david_ouyang

@KPNorcal Cardiologist • Data Scientist • Co-founder @InVision_AI • Deputy Editor @NEJM_AI

ID: 2301842168

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

2,2K Tweet

4,4K Followers

975 Following

Eric Topol (@erictopol) 's Twitter Profile Photo

Opportunistic A.I. interpretation of medical scans. The list keeps getting longer of improved detection, unrelated to why the scan was obtained Today; Aortic aneurysm from breast MRI nature.com/articles/s4146… My running list👇

Opportunistic A.I. interpretation of medical scans. 
The list keeps getting longer of improved detection, unrelated to why the scan was obtained
Today; Aortic aneurysm from breast MRI
nature.com/articles/s4146…
My running list👇
Ethan Mollick (@emollick) 's Twitter Profile Photo

👀Using an autonomous agent based on o3-mini and GPT-4.1, a team from Harvard, MIT & other institutions reproduced and updated an entire issue of Cochrane Reviews in two days… saving 12 person-years of work! The AI reviews captured more papers & were more accurate than humans.

👀Using an autonomous agent based on o3-mini and GPT-4.1, a team from Harvard, MIT & other institutions reproduced and updated an entire issue of Cochrane Reviews in two days… saving 12 person-years of work!

The AI reviews captured more papers & were more accurate than humans.
Amyloidosis Research Consortium (@amyloidosis_arc) 's Twitter Profile Photo

Can #AI help uncover #CardiacAmyloidosis earlier? A new white paper is out now featuring insights from experts across medicine, AI, & advocacy. Download Here: arci.org/aipapermay2025 #AI #Amyloidosis #RareDisease

Can #AI help uncover #CardiacAmyloidosis earlier?

A new white paper is out now featuring insights from experts across medicine, AI, & advocacy.
Download Here: arci.org/aipapermay2025

#AI #Amyloidosis #RareDisease
Aaron Levie (@levie) 's Twitter Profile Photo

The play right now is to go deep in a vertical and build AI Agents with the context of the critical workflows, domain expertise, specialized instructions, and data of that industry. And build anticipating what’s possible with AI models in a year from now, not just today.

David Ouyang, MD (@david_ouyang) 's Twitter Profile Photo

Excited to see this comparison of amyloid detection algorithms in JACC Journals #advances, lead by Faraz. AI algorithms on #echofirst outperform EHR and rules-based approaches. Similar AUC but different calibration. InVision Medical Technology Corporation more specific, Ultromics more sensitive.

Excited to see this comparison of amyloid detection algorithms in <a href="/JACCJournals/">JACC Journals</a> #advances, lead by <a href="/FarazAhmadMD/">Faraz</a>. 

AI algorithms on #echofirst outperform EHR and rules-based approaches. Similar AUC but different calibration. <a href="/InVision_AI/">InVision Medical Technology Corporation</a> more specific, <a href="/ultromics/">Ultromics</a> more sensitive.
David Ouyang, MD (@david_ouyang) 's Twitter Profile Photo

Thanks Alex Bick Dan Roden Bryan Harris Jennifer “Piper” Below for inviting me to @vumc_medicine. Great to see old and new friends alike! Precision AI phenotyping and @VUMCgenetics is an amazing match for discovery science! 🚀 And 🙏 to allow me to kick off the new

Thanks <a href="/AlexBickMDPhD/">Alex Bick</a> Dan Roden Bryan Harris <a href="/piperbelow/">Jennifer “Piper” Below</a> for inviting me to @vumc_medicine. Great to see old and new friends alike!

Precision AI phenotyping and @VUMCgenetics is an amazing match for discovery science! 🚀

And 🙏 to allow me to kick off the new
Yuki Sahashi (@yuki_sahashi) 's Twitter Profile Photo

アメリカ心エコー学会2025 Late Breaking Presentation / YIA sessionで、この研究を発表します。 楽しみにしています☺

Morgan Cheatham (@morgancheatham) 's Twitter Profile Photo

this diagram is one of the most important in medicine. published over two decades ago, "The Ecology of Medical Care" captured a persistent truth: - of every 1000 people, 800 report symptoms each month. - 327 consider seeking care. 217 actually do. - 8 are hospitalized. - fewer

this diagram is one of the most important in medicine.

published over two decades ago, "The Ecology of Medical Care" captured a persistent truth:
- of every 1000 people, 800 report symptoms each month.
- 327 consider seeking care. 217 actually do.
- 8 are hospitalized.
- fewer