🧵1/n Can #AI identify structural heart diseases from an #ECG photo? 📸 In @JACCJournals #JACC, we present PRESENT-SHD, an ensemble deep learning model for automated SHD screening & risk stratification, validated in clinical & community-based cohorts. @cards_lab @rohan_khera⬇️

Man, it's difficult to explain the statistical significance of tonight's win to someone who doesn't follow Women's cricket. This Aus team is the mightiest ever in any sport, of any gender. India are the only ones who've pushed them at times, and heck they've only 4 times in the

🚀 The @cards_lab is leading a hands-on AI workshop at #AHA25 #QCOR25! AI in Action: LLM-Powered Quality Assessment & Improvement in the EHR Learn how to: 🔍 Use LLMs to measure care quality ⚡ Build real-time AI workflows 🌐 Implement scalable, equitable solutions 📍 Session:

This is the greatest day in the history of Indian women's cricket.

THIS IS ICONIC. Who else is crying? @JemiRodrigues and TEAM INDIA this is SPECIAL. #indus

Sharing some quiet rumblings on the ways we see one another, and the silent exchanges that heal. #MedTwitter #painmedicine #anesthesia https://t.co/PpT2A0ksnX

What a comprehensive #CVGrandRounds talk by @sarahaboualaiwi on the current state and scope of cardiac amyloidosis management - an exciting, fast-moving space with novel diagnostic tools and therapies! Congrats, Sarah! 💯

What We Couldn't Name https://t.co/hIC3livrGX

My cartoon for this week’s @newscientist

This summer, the @escardio convened a cardiovascular round table (CRT) on: How cardiologists can take the lead in advancing AI Great discussions & presentations, that are available here: https://t.co/RbFjDmSPXs The accomplished group discussed innovations across the spectrum.

So happy to see @guptaarjun90 this weekend. One of my first mentors; someone who inspires me endlessly to think outside the box and put patients first. In a world that is constantly trying to chase “numbers”, folks like Arjun are still working on what “matters most to patients”.

Grateful to the #Menarini Foundation and host Prof. Crea @ehj_ed for two energizing days on “AI in Medicine” in Rome 🇮🇹. Honored to share our vision @yalecardiology @cards_lab alongside @fwasselbergs, @SandyEngelh & Thomas Paterson in the AI in Cardiology 🫀 session.

🚨Excited to share our work on the efficacy of tirzepatide across cardiometabolic outcomes in people with T2D, now featured on @Endo_Vumedi! 📖 https://t.co/irc9BeFQug 📽️ https://t.co/m2V9wlQ5b0 @cards_lab @rohan_khera @AniaJastreboff @ekoikonomou @dhruva_biswas @TradIMYale

I’m more than proud to lead a team of the most talented researchers I have ever met 👩‍🎓🧑🏽‍🎓Congratulations to the whole team with this accomplishment 👏 It’s an honor to work with and learn from you all 🙏 @CTCPR_ for the win 🌟

Too many AI papers stop at performance metrics. In our new JACC Editor's page, we outline what matters, including clinical relevance, fit-for-purpose evaluation, and responsible/trustworthy use of AI. https://t.co/GD05sAWUeA #AIinMedicine @JACCJournals @hmkyale

#ESCCongress Sim-pub 🚨📢 Phenotype associations of 5 #AI-ECG models evaluated across 4 cohorts (n>200k) 🎯 Limited CV phenotype selectivity, w high cross-model overlap & strong off-target associations 🔧 Implications for use as broad CV markers rather than disease-specific

🫀Are AI-ECG models condition-specific classifiers or broader cardiovascular risk markers? In a study led by @philipcroon and published in @CircAHA simultaneously with @escardio #ESC2025 the authors discuss the phenotypic selectivity of AI-ECG models 🔗 https://t.co/6TVC8e8BDe

Led by @philipcroon @cards_lab, presented at #ESC2025 @escardio + sim pub in @CircAHA is our study on Phenotypic selectivity of AI-ECG tools Diff models have overlapping CV disease associations 🫀 Current AI-ECG tools best used as broader biomarker of CV risk vs specific

At #ESC2025 @escardio, @ekoikonomou presents #TARGETAI - our EHR + ECG foundation model-driven approach to define optimal target for AI-ECG screening This optimizes precision & sensitivity of AI-ECG models An important frontier in precise deployment of AI tools. Preprint 👇🏽

Congratulations to @TradIMYale PGY1 @AryaAminorroaya so proud of you! @rohan_khera

Delighted to present our @cards_lab work at #ESCCongress2025: 🤖 AI-enabled detection & prediction of AF from images of 12-lead ECG in sinus rhythm 🫀 Promising results in forecasting thromboembolic events and advancing 🎯prevention @rohan_khera @ekoikonomou @LovedeepDhingra