Patients suffering a #stroke still face barriers to timely diagnosis and recovery. Our new topical review in @StrokeAHA_ASA explores how AI-enabled, consumer-facing technologies can revolutionize stroke prevention, detection, and recovery through a precision, data-driven

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! 💯

🫀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

Exciting work from @ekoikonomou at #ESCCongress! He presented TARGET-AI, a foundational framework to guide the deployment of AI-ECG for the precision diagnosis of structural heart diseases @cards_lab @rohan_khera

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 👇🏽

at #ESC2025 Across UK 🇬🇧 & Brazil 🇧🇷 cohorts, AI-ECG improve heart failure risk stratification beyond traditional risk scores @cards_lab @YaleCardiology @YaleMed @rohan_khera

@sjtu1896 @escardio @UniSassari @PKardiolog Dr. Phyllis Thangaraj @PhyllisTweets @cards_lab gives a whirlwind tour on the many emerging applications of digital twins in the cathedral lab High-dimensional info + Advanced stats -> high-res simulations of digital hearts from coronary physiology to atrial conduction defects

Great fun sharing data this AM at #ESCcongress2025 session 'What can we learn from #AI ECG interpretation?' 🫀🤖 Really enjoying the high quality science being presented at the meeting, as well as being on the road w @cards_lab in Madrid 🇪🇸

Off to #ESCCongress 🇪🇸 to showcase how evidence-based #AI is reshaping cardiology, from AI-ECG & EHR foundation models to CCTA & adiposity radiomics. Tackling cardiomyopathy, visceral adiposity & beyond. Come say hi! @YaleCardiology @cards_lab @RDMOxford

CarDS Lab is heading to #ESC2025 in Madrid! Our team will be sharing our latest research on AI and cardiovascular care. Excited to join the global conversation at the world’s biggest stage for cardiovascular research! @YaleCardiology @YaleMed @rohan_khera

We know AI-ECG and AI-Echo can detect transthyretin amyloid cardiomyopathy (ATTR-CM), but: – How early can they pick up the phenotype? – Can we track its progression with digital biomarkers? Find out in our @cards_lab study in @ehj_ed Thread below 🧵👇 w/ @rohan_khera

Now out in @Nature_NPJ Cardiovascular Health #AI + #wearable & portable devices can transform CV care - enabling 📈scalable screening ⏲️early detection 📲remote monitoring 🔗🔗 https://t.co/IarihAlW5K w/ @rohan_khera @cards_lab @YaleMed New frontiers in #DigitalHealth #CVCare

A team led by @YaleIMed's @rohan_khera says its new #AI tool, PanEcho, can interpret #echocardiogram images and accurately detect #heart conditions in minutes. Researchers share their results in @JAMA_current: https://t.co/nDJCrG7S8k

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

Excited to share our 🆕 pub demonstrating the power of #AI in detecting #HF risk in single-lead ECGs across diverse cohorts 🇺🇸🇬🇧🇧🇷 Led by 🌟 lab members @LovedeepDhingra @AryaAminorroaya Read the 📄 in @jamacardio: https://t.co/czOeuSz3nh @rohan_khera @YaleMed @YaleCardiology

How’s AI revolutionizing healthcare? Check out the video from @bbgoriginals featuring @rohan_khera and the @cards_lab @YaleMed

Much of the highest-quality cardiovascular data is locked in free-text reports In @ESC_Journals #EHJDigitalHealth, led by @VasishtSumukh @cards_lab, we report the HeartDX-LM to digitize unstructured CV diagnostic reports, that is - efficient - scalable - open source more👇

It was such an amazing honor to visit great friends and collaborators at @Yale @YaleCardiology and give grand rounds about our trial experience back home in DK. Thanks again for the invitation @rohan_khera, @hmkyale, and Eric J. Velazquez! Hope to be back very soon again :-)

Great to have the exceptional @TorBiering visiting us at @YaleCardiology as our visiting professor. We @cards_lab had fun learning about his journey (those who made it back from #ACC25). Looking forward to his grand rounds @ 5p ET - live on https://t.co/7xXKHQIXhW