
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
Thanks for highlighting our work @DeryaTR_!. #PanEcho is publicly available for research use as well: 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.
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RT @Yuki_Sahashi: 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….
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RT @Inside_PM: AI Echo System Has Automated Screening Potential. The #PanEcho deep-learning system offers AI-enabled echo interpretation an….
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RT @MattSegar: @RobertAvramMD @rohan_khera @JAMA_current @giholste @ekoikonomou JAMA X account posted the non-logi….
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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!
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RT @YaleCardiology: A new study in @JAMA_current led by Yale researchers finds that an AI-enabled tool can interpret echocardiograms with a….
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RT @JAMA_current: An #AI system that automatically interprets echocardiograms maintained high accuracy across geography and time from compl….
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RT @ekoikonomou: (1/n) Can #AI-enhanced #POCUS detect under-diagnosed cardiomyopathies? . In @LancetDigitalH, we report our findings using….
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RT @LancetDigitalH: NEW Research: #AI-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography. @ekoi….
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RT @CardioBusiness: New AI program delivers rapid, accurate echo video assessments @cards_lab @YaleMed #cardiology #AI #imaging
https://t.c….
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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 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 . and access code and weights for direct inference or finetuning on TorchHub
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RT @VITAGroupUT: Thrilled to share PanEcho, a major step in AI-driven echocardiography, led by our very own @giholste , alongside our excel….
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RT @rohan_khera: After 2 months of embargo for #AHA24 Late Breaking presentation, we are pleased to announce PanEcho - Complete AI-enabled….
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RT @TCTMD: “Echocardiography is the ideal place to use AI,” comments @David_Ouyang. At #AHA24, two new studies added further evidence in su….
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RT @VITAGroupUT: @giholste new breakthrough! A highly prestigious (and well received!) late breaking science presentation at #AHA2024 (that….
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@rohan_khera @AHAMeetings As @David_Ouyang highlighted on stage, another great example of collaboration between engineers (@VITAGroupUT @utexasece) and clinicians (@cards_lab @rohan_khera @ekoikonomou). It's just the beginning for #AI in echo!.
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It was an honor to share the podium with @rohan_khera to present #PanEcho as a Late-Breaker at #AHA24 @AHAMeetings alongside such amazing science!. This is my first AHA -- it's gonna be hard to top this experience. More on PanEcho coming soon 👀. Model and preprint on the way!.
We are presenting #PanEcho at the Late Breaking Clinical Science session in Main Event 1 @AHAMeetings #AHA24 . Co-presenting with @giholste @cards_lab . Work with @ekoikonomou . On stage with @JRGolbus . Results coming in 3…2…1…
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