Pierre Elias, MD
@PierreEliasMD
Asst Prof in Cardiology & Biomedical Informatics @ColumbiaCardio @ColumbiaDBMI || Medical Director for Artificial Intelligence @nyphospital
🧵1/Today, we published a key milestone towards AI based cardiac screening in Nature. doi.org/10.1038/s41586… EchoNext outperformed cardiologists and found thousands of high-risk patients missed in routine care. We also made a version available to the world.

How the electrocardiogram can identify previously undiagnosed structural heart disease with A.I. alone, better than cardiologists with A.I. support @Nature @PierreEliasMD @timpotsMD nature.com/articles/s4158…
Nature research paper: Detecting structural heart disease from electrocardiograms using AI go.nature.com/469zeOv
1/6 🏥 Structural heart disease (SHD) is common and often missed. What if a standard ECG could spot it—accurately, at scale, across hospitals, and patient types? Meet EchoNext, our AI model trained on 1.2M ECG-echo pairs. 👉 Published in Nature 🔗 doi.org/10.1038/s41586…
Thank you to @CNN and Clare Duffy for having me on to talk about our work using AI to advance medicine and where the field is headed for patients, clinicians, & the country. Spotify lnkd.in/e74dMMpu Apple Podcasts lnkd.in/edBmAfWi YouTube lnkd.in/e7M5bzeD
Check out the Stanford AI Index Report: @indexingai It's the best one-stop-shop for credible, current data on AI trends.
Now the supplement AG1 is in airport vending machines. At right is the complete list of peer-reviewed, independent research studies that show an improvement in health outcomes.
Pleased to share our group's NEJM and NAM publications on Generative AI in Medicine. Hope it is a helpful overview! | NEJM nejm.org/doi/full/10.10… @BJC_HealthCare @WUSTLmed @ACCinTouch @WashUi2 @WashUCardiology @HIPSInnovators @WUDeptMedicine
🧵 AI for Valvular Heart Disease: DELINEATE-Regurgitation Study Excited to share our latest work on using deep learning to improve diagnosis and prediction in valve regurgitation. Let's dive in! #CardioTwitter #EchoAI @PierreEliasMD tinyurl.com/EHJDelineate (1/8)
#ACC2025 was incredible for CRADLE! 🚀 6 oral presentations 📢 Simultaneous publication in European Heart Journal on AI analysis of echo for valve disease tinyurl.com/EHJDelineate 🍽️ Hosted dinner for 20 of my favorite friends in AI & cardiology through the TRAIN-Cardio consortia
🧵 AI for Valvular Heart Disease: DELINEATE-Regurgitation Study Excited to share our latest work on using deep learning to improve diagnosis and prediction in valve regurgitation. Let's dive in! #CardioTwitter #EchoAI @PierreEliasMD tinyurl.com/EHJDelineate (1/8)
Amazing work from @David_Ouyang's lab
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…
Way to go @hmkyale and @JACCJournals ! Exciting to see.
Preprints: A way to collaborate and garner feedback while advancing science – see the #JACC approach: jacc.org/doi/10.1016/j.… @hmkyale @JoshuaDWallach
Wonderful that more therapies are becoming available for #ATTR, but access is going to be a continued challenge.
Socioeconomic Disparities Are Associated with Delayed Access to Tafamidis in Transthyretin Cardiac Amyloidosis @PierreEliasMD @MathewMaurer @timpotsMD #AHAJournals ahajrnls.org/3DUqFeq