Geoff Tison
@GeoffTison
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Looking forward to Co-Chairing this NIH-NHLBI Workshop on Artificial Intelligence for Clinical Decision Support Sept 9-10, 2025 in Bethesda, MD. All are welcome, join us in-person or virtually. Register here: https://t.co/74pGn3BtEf
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We analyze performance for ECGs over 4 datasets: PTB-XL, Chapman-Shaoxing, Georgia 12-lead ECG Challenge, and CPSC. @GeoffTison We show you how to visualize the normalized signal for each lead as well as train models with a 7-label task across datasets. https://t.co/RcDnvusbuG
arxiv.org
Medical data poses a daunting challenge for AI algorithms: it exists in many different modalities, experiences frequent distribution shifts, and suffers from a scarcity of examples and labels....
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This work shows how #AI can expand the utility of existing medical data and procedures to provide clinically-actionable insights and potentially decrease medical risks. @Jeffolgin, @BarriosEtAl, @Sean_abreau, @DerekSoMD, @Zeeshan_A2
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We then externally validated CathEF in a different country @UOHIResearch showing similarly strong performance. This is a technological advancement for angiography, using #AI to assess real-time LV systolic function from any routine angiogram without any added risk or procedures.
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We developed and validated CathEF, a video-based neural network, in @UCSFCardiology to estimate continuous LV ejection fraction (LVEF) from standard angiograms of the left coronary artery.
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We’re excited to share CathEF in our latest @JAMACardio paper, an #AI algorithm that provides novel information about cardiac pumping function (LVEF) from standard coronary angiograms. https://t.co/IBK0SnAA2I. Read more also at https://t.co/JsFZpLQTTI
@RobertAvramMD
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@GeoffTison @UCSFCardiology created an AI-powered algorithm that accurately predicts 💝myocardial injury using #ECG data. ✅The algorithm's negative predictive value of 80% allows it to triage low-risk patients using a simple and cost-effective ECG. https://t.co/5vVg8uK5cx
#AI
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I am so proud to be part of an amazing community at @UCSF pushing the boundaries of biomedical #AI, including @UCSF_BCHSI @arnaoutlab @GeoffTison @sharmilamajumda @AaronNeinstein @madhumitasushil @UCSF_Ci2 and so many others!
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UCSF Center for Real World Evidence Collab w/ @JanssenUS published in @JCardFail "Electrocardiogram Detection of Pulmonary Hypertension Using Deep Learning" https://t.co/DPl2mZqhKs
@atulbutte @GeoffTison RWE, signal processing, AND machine learning / deep learning!
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We present a new perspective in @cellrepmed on the present state and future outlook of AI and machine learning in cardiovascular medicine: https://t.co/0xFXtwlSFN
@GeoffTison A thread: #AI, #Cardiology
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A study published in @LancetGH by lead author @GeoffTison and @UCSF researchers shows that physical activity remains decreased worldwide 2 years since #COVID19 onset.
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AI analysis of HCM ECGs correlates with longitudinal hemodynamic, cardiac structural and laboratory markers in obstructive HCM patients. https://t.co/2JuPKMMkSC
#JACC #cvHCM #ECG #EKG #CardioTwitter @GeoffTison @noseworthypeter
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AI-ECG may offer a novel paradigm to monitor/track disease status, cardiac hemodynamics and drug therapeutic response. A multi-institutional and industry collaboration with @UCSF @MayoClinic @Myokardia @noseworthypeter @Jeffolgin @drpaulfriedman @sean_abreau @konsiont @zachia5
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In the phase 2 PIONEER-OLE study of hypertrophic cardiomyopathy patients receiving Mavacamten drug therapy, our AI-ECG scores tracked with longitudinal trends in intra-cardiac pressures (echo LVOT gradients) and volume overload markers (serum NT-proBNP).
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Out this week in #JACC, we show that AI analysis of ECGs not only diagnoses disease but can assess disease severity and response to drug treatment (tracking cardiac hemodynamics and BNP). @JACCJournals
https://t.co/KJoZP6KMw2
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The pandemic winter is ending, so why are our pandemic habits sticking around? I needed some #Inspiration so I reached out to some smart people for tips to reboot https://t.co/O81nY0JjWS
@mchonig @katy_milkman @GeoffTison @gregorymmarcus @MorningEdition
npr.org
After two years of pandemic life, people have learned to cope in ways that have become stubborn, unhealthy habits. But there are positive steps we can take to reset a healthy lifestyle.
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Reduced physical activity & weight gain are changes many have experienced since the #pandemic, but it’s “not surprising,” Dr. @GeoffTison says. “People are just less used to being active." Learn about #GoalSetting and other tips to get back on track.
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☑️ November #CJC Editor's pick from @StanleyNattel Predicting Incident Heart Failure in Women With Machine Learning: The Women’s Health Initiative Cohort. Corresponding author: @GeoffTison 👉 https://t.co/ZqKxIR7Bme
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