Greg Holste
@giholste
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PhD Student @UTAustin @VITAGroupUT | @NSF Graduate Research Fellow Building deep learning methods to interpret medical images
Austin, TX
Joined March 2020
Paper: https://t.co/FqewHPXKL7 Code+Model: https://t.co/4jcG5UwWsA Explainer thread: https://t.co/u12krMfG3h Thanks to @JAMA_current @JAMAplusAI and collaborators @kovatti87 @tokmarton!
github.com
[JAMA] "Complete AI-Enabled Echocardiography Interpretation with Multitask Deep Learning" by Gregory Holste, Evangelos K. Oikonomou, Márton Tokodi, Attila Kovács, Zhangyang Wang, ...
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! https://t.co/llgC3D19u6
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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: https://t.co/ol21UYExUV
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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 https://t.co/Tr8mrytDbz
#ML #AI #medicine #healthcare
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Thanks for highlighting our work @DeryaTR_! #PanEcho is publicly available for research use as well: https://t.co/4jcG5UwoD2. We hope this can accelerate research on AI for echocardiography and medical AI more broadly
github.com
[JAMA] "Complete AI-Enabled Echocardiography Interpretation with Multitask Deep Learning" by Gregory Holste, Evangelos K. Oikonomou, Márton Tokodi, Attila Kovács, Zhangyang Wang, ...
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
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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） https://t.co/IvqCfSDhYX
jamanetwork.com
This study evaluates the accuracy of an artificial intelligence (AI) system on a comprehensive set of 39 echocardiographic labels and measurements on transthoracic echocardiography.
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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
https://t.co/Rs8DmF9YUO
insideprecisionmedicine.com
The PanEcho deep-learning system offers AI-enabled echo interpretation and may accurately assess the structure and function of the heart.
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@RobertAvramMD @rohan_khera @JAMA_current @giholste @ekoikonomou
https://t.co/fWiCHi7rtW JAMA X account posted the non-login-required link
jamanetwork.com
This study evaluates the accuracy of an artificial intelligence (AI) system on a comprehensive set of 39 echocardiographic labels and measurements on transthoracic echocardiography.
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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
[JAMA] "Complete AI-Enabled Echocardiography Interpretation with Multitask Deep Learning" by Gregory Holste, Evangelos K. Oikonomou, Márton Tokodi, Attila Kovács, Zhangyang Wang, ...
When A.I. can interpret an echocardiogram. (one of the most complex medical images) https://t.co/0bQZkmu4jO
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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: https://t.co/wGJBkHMTNZ
@rohan_khera @ekoikonomou @giholste
medicine.yale.edu
A new study in JAMA led by Yale School of Medicine researchers finds that an artificial intelligence (AI)-enabled tool can interpret echocardiograms with a high
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An #AI system that automatically interprets echocardiograms maintained high accuracy across geography and time from complete and limited studies. @rohan_khera
https://t.co/kltl6Ahs4I
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Vibe coded a new personal website: https://t.co/XrCKww3drV 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
gholste.me
Ph.D. Candidate, The University of Texas at Austin
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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
https://t.co/L44CHHsaSO
medicine.yale.edu
AI-assisted testing in emergency rooms could lead to early diagnosis of cardiomyopathies, Yale-led research finds.
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(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: https://t.co/1o1cj0bPm7
@cards_lab @rohan_khera 🧵⬇️
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NEW Research: #AI-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography. @ekoikonomou @rohan_khera Read it here: https://t.co/Xc2N7G7g3D
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New AI program delivers rapid, accurate echo video assessments @cards_lab @YaleMed #cardiology #AI #imaging
cardiovascularbusiness.com
The new technology shows early potential to make a significant impact on imaging workflows and patient care.
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Working on #AI for #echofirst? Use PanEcho! Why PanEcho? The model is trained on >1M echos from all views on 39 diverse tasks, meaning... - PanEcho is a powerful transfer learner - It takes *one line* of Python code See https://t.co/4jcG5UwoD2 for details + reach out with Qs
After 2 months of embargo for #AHA24 Late Breaking presentation, we are pleased to announce PanEcho - Complete AI-enabled echocardiography interpretation with multi-task deep learning Led by @giholste & @ekoikonomou @cards_lab Preprint, code, model here:
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I'm not supposed to pick favorites, but it's been an absolute blast working with @ekoikonomou @rohan_khera (@cards_lab x @VITAGroupUT collab once again!) This is an exciting time for #AI in #echofirst, much more to come...
Always fun working with @giholste and @rohan_khera @VITAGroupUT @cards_lab on #AI + #echofirst projects 🚨 PanEcho Check out the full preprint at https://t.co/c4q4hcq8IY ... ...and access code and weights for direct inference or finetuning on TorchHub
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Thrilled to share PanEcho, a major step in AI-driven echocardiography, led by our very own @giholste , alongside our excellent collabroators in Yale @cards_lab ! PanEcho automates 39 tasks —measurement, quantification, and classification - using 1.1M Echo videos and a
medrxiv.org
Echocardiography is a mainstay of cardiovascular care offering non-invasive, low-cost, increasingly portable technology to characterize cardiac structure and function1. Artificial intelligence (AI)...
After 2 months of embargo for #AHA24 Late Breaking presentation, we are pleased to announce PanEcho - Complete AI-enabled echocardiography interpretation with multi-task deep learning Led by @giholste & @ekoikonomou @cards_lab Preprint, code, model here:
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After 2 months of embargo for #AHA24 Late Breaking presentation, we are pleased to announce PanEcho - Complete AI-enabled echocardiography interpretation with multi-task deep learning Led by @giholste & @ekoikonomou @cards_lab Preprint, code, model here:
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“Echocardiography is the ideal place to use AI,” comments @David_Ouyang. At #AHA24, two new studies added further evidence in support of AI’s potential to transform the echocardiology landscape. For all the details on the study presentations: https://t.co/VPKSZ9PZah
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