
Evangelos K. Oikonomou
@ekoikonomou
CV fellow @YaleCardiology @cards_lab via @YaleIMed • DPhil @UniOfOxford • MD @uoaofficial • Associate Editor #EHJ • computer vision & digital biomarkers
ID: 996831520089346049
https://scholar.google.com/citations?user=GgJv1SMAAAAJ&hl=en 16-05-2018 19:15:29
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Excited that #PanEcho is now published in JAMA Kudos to Greg Holste Evangelos K. Oikonomou 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! jamanetwork.com/journals/jama/…


A new study in JAMA led by Yale researchers finds that an AI-enabled tool can interpret echocardiograms with a high degree of accuracy in just a few minutes: medicine.yale.edu/internal-medic… Rohan Khera Evangelos K. Oikonomou Greg Holste

Robert Avram Rohan Khera JAMA Greg Holste Evangelos K. Oikonomou jamanetwork.com/journals/jama/… JAMA X account posted the non-login-required link



🚀 New in European Society of Cardiology Journals our “AI in cardiovascular pharmacotherapy—applications & perspectives.” Link doi.org/10.1093/eurhea… 💊 AI will revolutionize cardiology, but what is the state of the art in CV pharmacotherapy? Is it ready for prime time? Let’s dive in ⬇️🧵 1️⃣/12


An outstanding opportunity and timely initiative by Yale Internal Medicine and Mark D. Siegel

🧵 1/n We know #AI_ECG can detect HCM from ECG voltage signals. But raw signals aren't always accessible, limiting the use at the point-of-care. 🆕in Nature Cardiovascular Research, we ask: Can #AI detect #HCM directly from #ECG images? Across sites and ECG layouts? Rohan Khera CarDS Lab


In Nature Cardiovascular Research, our CarDS Lab study defines a new approach to identifying adults w hypertrophic cardiomyopathy (HCM) - a leading cause of cardiac arrest in young adults Using #AI_ECG for images/photos of ECG (📸) Led by ⭐️s @veer_sangha_ Lovedeep Dhingra
