
Co-Founder at Pathway Labs, Prof in Cardiology & Biomedical Informatics @Columbia, Medical Director for Artificial Intelligence @nyphospital
New York, USA
Joined August 2011
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We invented a new biomarker for cardiovascular disease. The New York Times tells our story (link in comments).
This is going to be a great late-breaker session at @AHAScience #AHA26
Late Breaking Science: We are excited to present our blinded, randomized trial of comprehensive echo interpretation by AI at @AHAScience #AHA26 on Monday November 9th.
A great resource for anyone learning echocardiography! #echofirst
The website is live at intro2echo.com and the github is at github.com/douyang/echodemo
It was really fun to make the free movement - the video doesn't do it justice, but you can free move both the TTE and TEE probe and it'll generate the 2D image in according to the 3D model.
There's a couple of chapters on common echo concepts and common diseases. Would love feedback!
Pierre Elias, MD retweeted
The website is live at intro2echo.com and the github is at github.com/douyang/echodemo
It was really fun to make the free movement - the video doesn't do it justice, but you can free move both the TTE and TEE probe and it'll generate the 2D image in according to the 3D model.
There's a couple of chapters on common echo concepts and common diseases. Would love feedback!
I'm almost ready to share it, but Claude Code is very good at keeping consistency across views and chapters.
For example, I can specify a heart phenotype, and will make all the images consistent and physiologically plausible.
Even with unlimited time, I don't think I could create such a nice tutorial!
This is the most succinct, accurate, and well laid out current state of AI I have seen. Worth the watch. Thanks @gradypb
The @BostonCollege Investment Committee (an LP and my beloved alma mater) asked for a few thoughts on what's happening in AI. I recorded a test run yesterday morning and then shared it with my partners, who encouraged me to share it more broadly... so here you go!
This is not a sales pitch, it's just a reflection on what we're seeing. And it wasn't intended to be shared, so please pardon the rough edges.
loom.com/share/c016702964a04…
Pierre Elias, MD retweeted
Any risk of drinking very hot coffee?
New study of nearly 1 million UK adults
onlinelibrary.wiley.com/doi/…
economist.com/science-and-te…
SCC-squamous cell carcinoma ; AC-adenocarcinoma
"If everyone who took their tea or coffee scalding hot instead waited for it to cool down, it might prevent about 440 of the roughly 3,200 cases of esophageal cancer seen every year in Britain."
Pierre Elias, MD retweeted
There is a child with a rare disease who is currently suffering and struggling to manage his symptoms. Rare as this is, you can directly help him.
Today we are launching the "Rare Disease, Real Kid" Hackathon, and there are $50,000 in prizes from @AnthropicAI and @awscloud.
We (@huggingface & @Sagebio) are helping this child open his genome and clinical data to the community, so that we can find what's caused his disease and what currently-approved drugs could help him.
I doubt I need to motivate this much further or explain how rare it is for a family to share their child's genome and clinical data, but if you're not sure, consider this:
Until very recently, it wasn't feasible for patients like this to get treatment because their disease was so rare that the economics could never justify the investment. Now, as we've seen, people with rare diseases are starting to be able to find the answers themselves (with the help of AI tools, cheaper sequencing, etc). This kid is not able to do that for himself and neither are his parents, so we're asking you for help. Both for this kid and to prove that it's possible for everyone else suffering from a rare disease.
More details in 🧵.
sagebio-rare-disease-real-ki…
Pierre Elias, MD retweeted
If you're a software engineer in healthcare, I bet you that we're going to be your favorite.
Ship It is our new software engineering conference for healthcare. It's all workshops, you need to apply to get in so we only get serious people, and it's limited to 80 people.
You can apply with a workshop idea you'd want to run! Some things I think would be good:
1) How are people budgeting and allocating for tokens
2) Wtf are harnesses and how do you use them well
3) How are you evaluating other AI tools as vendors vs. when you want to build internally
But you can pitch whatever you want! Applications are due Wednesday, we'd love to see you there.
We know how to throw a good conference that's actually educational, just ask anyone that's wearing a gender reveal colored bucket hat who's been to one
Pierre Elias, MD retweeted
Hello. Let me introduce "EchoNet-Segmentation", an open-source AI framework for automated area measurement.
Clinical echo requires evaluating over 50 parameters. Manual measurement causes significant burden and inter-observer variability.
Paper: medrxiv.org/content/10.64898…
Super interesting paper from @oziadias out in Nature this week. It comes down to one of the must fundamental challenges in science: how do we find the needle in the haystack? Where is the threshold at which we act? Sudden cardiac death one of the best use cases to explore.
My friend the brilliant @kevin_volpp dropped dead
He survived (read abt it: tinyurl.com/ypcpdzpz)
But every year 300-400,000 in the US don't
This week: our @nature article (+A.Schubert J.Ross @m_sendhil M.Lingman) applies AI to this medical mystery
nature.com/articles/s41586-0…
Pierre Elias, MD retweeted
My friend the brilliant @kevin_volpp dropped dead
He survived (read abt it: tinyurl.com/ypcpdzpz)
But every year 300-400,000 in the US don't
This week: our @nature article (+A.Schubert J.Ross @m_sendhil M.Lingman) applies AI to this medical mystery
nature.com/articles/s41586-0…
Pierre Elias, MD retweeted
obvious in retrospect but I had no idea there was a black market for tokens
Pierre Elias, MD retweeted
The most common cause of death in the world has no screening test. The @nytimes on how AI is starting to change that, reading patterns in a routine ECG that clinicians miss, and coming free to physicians through EchoNext on OpenEvidence.
Pierre Elias, MD retweeted
When AI led to saving a 45-year-old man's life
nature.com/articles/s41591-0… @NatureMedicine @PierreEliasMD
gift link
nytimes.com/2026/06/22/healt…
Gift Link: nytimes.com/2026/06/22/healt…
First Case Report of AI Diagnostics Leading to Heart Transplant:
nature.com/articles/s41591-0…
Pierre Elias, MD retweeted
This week, a team of researchers quietly published in @JACCJournals one of the most profound studies of valvular heart disease in recent memory.
The PREVUE-VALVE study used a decentralized, in-home echocardiography model to estimate the prevalence of valvular heart disease among U.S. adults aged 65–85. Importantly, this was not a clinic-based echo cohort; participants were recruited nationally and underwent comprehensive transthoracic echo in their homes, with studies interpreted by a core lab. That intentional design choice is critical: PREVUE-VALVE is a true prevalence study, accurately representing the true burden of valve disease in the U.S. population.
The findings are striking: 8.2% of older Americans have moderate or greater valvular heart disease, and 18.4% have “clinically significant” disease when mild-to-moderate regurgitation is included. TR was the most common lesion, followed by AS, MR, AR, and MS. The burden rises sharply with age, reaching nearly 15% among adults aged 80–85.
Extrapolated nationally, this means approximately 4.7 million Americans aged 65–85 currently have moderate or greater VHD, projected to increase to 6.5 million by 2060. Using the broader clinically significant definition, the number is already over 10 million and projected to approach 15 million.
For structural heart programs, health systems, and policymakers, the message is clear: the valve disease burden is large, growing, and will require thoughtful planning around screening, access, and treatment capacity.
Congratulations to @djc795, Michael 'Mickey' Brener MD MS, and all co-authors for a stunning glimpse into the present and future of valve disease!
jacc.org/doi/epdf/10.1016/j.…
Pierre Elias, MD retweeted
Rigorous evaluation of medical AI is good for everyone, and we welcome it. Counter to a half-dozen independent studies from institutions such as the Mayo Clinic that were highly positive on OpenEvidence—a lone paper now purports to show that generalized AI beats specialized clinical AI (@UpToDate, @openevidence). The paper has a massive undisclosed conflict of interest and irredeemable methodological flaws.
Behind the scenes: The study authors run a competing in-house medical AI at their hospital, and asked OpenEvidence for an API to power it — including rights to build a "competing product" with OpenEvidence's own API. OpenEvidence declined. Then, this paper coincidentally appeared.
Point-by-point, looking closely at the datasets used in the study, the disingenuous and fatal flaws become immediately apparent 🧵.
























