Assistant Professor @ Weill Cornell Medicine Building AI systems to interpret complex biomedical data
New York, NY
Joined March 2020
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🚨 Postdoc Opening in AI for Cardiovascular Imaging
My new lab @WeillCornell in NYC is making its first hire. Come build clinically translatable AI for echocardiography 🫀. You will help shape this new group!
Details here: postdocs.weill.cornell.edu/o…
Are you a fit? More below 🧵
🔬 Research directions:
- Foundation models for echo
- Multimodal learning across echo, ECG, CT/MR, reports
- Flexibility based on fit!
🎯 Who should apply?
- Deep learning/CV experts who want to solve real clinical problems
- Medical AI folks ready to lead ambitious projects
Large-scale clinical data + impact, collaborators @WeillCornell, @nyphospital ,+ beyond, and... life in NYC 🏙️.
Details: postdocs.weill.cornell.edu/o…
Apply: forms.gle/63VqeabSVtWkrmEq9
Open until filled; RTs appreciated!
#postdoc #medicalAI #deeplearning #medicalimaging #computervision
A tale of two ID badges. Can't wait to start at @WCMPopHealthSci!
2023: Visiting Research Assistant (😐)
2026: Assistant Professor (😄)
🎉 Excited to announce I'm joining @WeillCornell as an Assistant Professor this fall! In @WCMPopHealthSci, @WCMRadiology, + Cardiology.
Grateful to @feiwang03 and @mertrory for making this possible. Thank you to @VITAGroupUT and @utexasece, where I'll finish my PhD this summer!
I am privileged to have too many people to thank: Atlas Wang, @rohan_khera, @ekoikonomou, @pengyifan (now my colleague!), and many more.
I will miss Austin, but I'm excited to head to NYC and keep working on exciting problems across #AI and #medicine
My lab will build medical AI systems that translate to patient care through advances in deep learning + constant collaboration w/ clinicians. I will be hiring a postdoc soon, so reach out and stay tuned for details @ gholste.me/!
Awesome to see PanEcho highlighted in a special podcast episode from @JAMA_current!
"This is the sort of thing that if 10 or 15 years ago you said we'd be able to do it, I suspect there would have been a lot of skepticism."
@rohan_khera @ekoikonomou @cards_lab @VITAGroupUT
Will 2026 be the year of real-world evidence that #AI can actually improve patient care?
@JAMAplusAI EIC Roy Perlis, MD, MSc, and Associate Editor Yulin Hswen, ScD, MPH, discuss in this special episode marking 1 year since the launch of JAMA+ AI:
ja.ma/4pStFv8
Paper: jamanetwork.com/journals/jam…
Code+Model: github.com/CarDS-Yale/PanEch…
Explainer thread: xitter.cf/rohan_khera/status/193…
Thanks to @JAMA_current @JAMAplusAI and collaborators @kovatti87 @tokmarton!
Excited that #PanEcho is now published in @JAMA_current
Kudos to @giholste @ekoikonomou for leading this incredible effort!
Now also validated on ED POCUS studies + RVNet+ (Thx Attila Kovacs & Marton Tokodi for joining us)
See 🧵 below for details!
jamanetwork.com/journals/jam…
#OpenSource #AI
Greg Holste retweeted
This Monday Gregory Holste from The University of Texas at Austin will be joining us to talk about their work on AI-enabled echocardiography interpretation. Catch it at 1-2pm PT this Monday on Zoom! Subscribe to mailman.stanford.edu/mailman… #ML #AI #medicine #healthcare
Thanks for highlighting our work @DeryaTR_!
#PanEcho is publicly available for research use as well: github.com/CarDS-Yale/PanEch….
We hope this can accelerate research on AI for echocardiography and medical AI more broadly
Important advance in medical video imaging interpretation through AI:
Echocardiography is a cornerstone of cardiovascular care, but relies on expert interpretation and manual reporting from a series of videos. An AI system, called PanEcho, has been proposed to automate echocardiogram interpretation with multitask deep learning.
This AI system can, potentially accelerate workflows and enable rapid cardiovascular health screening in point-of-care settings with limited access to trained experts.
Greg Holste retweeted
心エコー検査の汎用AIがJAMAから報告された。
心エコー検査には30-80程度の動画・静止画があるがこれらを読み込むとレポートを出力する。
何より素晴らしいと感じるのが、中身もさることながら、公開コードの豊富さだろう。
(続く）
jamanetwork.com/journals/jam…
Greg Holste retweeted
AI Echo System Has Automated Screening Potential
The #PanEcho deep-learning system offers AI-enabled echo interpretation and may accurately assess the structure and function of the heart
@giholste @utexasece #AI #echocardiography
hubs.li/Q03tpfN70
Greg Holste retweeted
jamanetwork.com/journals/jam…
JAMA X account posted the non-login-required link
Thank you @EricTopol for highlighting our work! What an honor.
This is the product of deep interdisciplinary collaboration between engineers & clinicians. Grateful to teammates & mentors @ekoikonomou @rohan_khera
+ Model is open-source for researchers! github.com/CarDS-Yale/PanEch…
When A.I. can interpret an echocardiogram.
(one of the most complex medical images)
jamanetwork.com/journals/jam…
Greg Holste retweeted
A new study in @JAMA_current led by Yale researchers finds that an AI-enabled tool can interpret echocardiograms with a high degree of accuracy in just a few minutes: medicine.yale.edu/internal-m…
@rohan_khera @ekoikonomou @giholste
Greg Holste retweeted
An #AI system that automatically interprets echocardiograms maintained high accuracy across geography and time from complete and limited studies.
@rohan_khera
ja.ma/45zhTye
Vibe coded a new personal website: gholste.me/
Do I know how Next.js works? Not in the slightest. Am I using it in my website? Apparently!
Have to say I'm very impressed with @v0, saved me hours and hours
Greg Holste retweeted
An experimental new screening test that pairs AI with portable cardiac ultrasounds could ensure more people receive care for two types of cardiomyopathy, a deadly heart condition.
Learn more from @ekoikonomou and @rohan_khera.
@YaleCardiology @cards_lab
medicine.yale.edu/internal-m…
Greg Holste retweeted
(1/n) Can #AI-enhanced #POCUS detect under-diagnosed cardiomyopathies?
In @LancetDigitalH, we report our findings using #AI to screen for ATTR-CM and HCM using >90k POCUS videos across the EDs of 2 health systems.
Link: tinyurl.com/2un77mca
@cards_lab @rohan_khera
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