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#AI for rare arrhythmia disorders. Inspired by the work of Yann LeCun on Self-Supervised Learning, we adapted VICReg, an Energy Based Model to learn deep #EKG representations. Pre-training with SSL is a promising strategy for rare disease detection. NYU Langone Health New York University 👇

Bifid appendage closed with 2X Amulet 🤠🤠

⚡️Just out JACC Journals⚡️ Prediction of 💊 induced QT prolongation with #AI 💥QTNet - 🆕 architecture for fusing ECG with EHR data ⏱️-dependent prediction from day 0- 180 & external validation 💥day 2 AUC > 0.9 sciencedirect.com/science/articl… 💫Neil Jethani 💫Constantine Tarabanis, MD 💫HaoZhang

Great work Oren Caspi 🎗️ ! Cc Alex Reyentovich, MD

See y’all eppro01.ativ.me/appinfo.php?pa… #HRS2024

Hmm electrograms….aren’t you the guy who suggested that with PFA, interventional cardiologists should be ablating AF?

Positive gender role modeling influences women EP fellows when making career decisions #WomeninEP #Epeeps #AHAJournals Jonathan Piccini, MD, MHS Jackson Liang Mina Chung MD Paul J Wang, MD doi.org/10.1161/CIRCEP…

Online in JACC Journals CV Imaging: Our work on training/utilizing an LLM to simplify Echo reports for the benefits of patients. TL;DR: #AI generated reports are accurate. And, patients love it! Patient-Oriented Echocardiogram Reports Augmented by AI sciencedirect.com/science/articl…

A new NYU Langone Health study shows the potential of AI to create echocardiogram reports that in most cases are accurate, relevant, and easy to understand. Learn more here: nyulangone.org/news/ai-tool-c… ✍️ by Dr. Lior Jankelson, MD, PhD Lior Jankelson

A new NYU Langone Health study demonstrates the potential of artificial intelligence (AI) to create patient-friendly explanations, as long as reviewed by a physician. Read here: nyulangone.org/news/ai-tool-c… ✍️ Dr. Lior Jankelson, MD, PhD (Lior Jankelson) and Jake Martin JACC Journals

Using AI to produce patient-friendly echocardiogram reports might help save time and alleviate confusion around the findings before patients have had a chance to speak with their clinician, according to new data. tctmd.com/news/chatgpt-g… Lior Jankelson Rohan Khera Shaan Khurshid

AI Tool Doesn’t Increase Appropriate Referrals to Angiography, but Might Help Some tctmd.com/news/ai-tool-d…

Introducing GuidelineGenetics. Leveraging recent breakthroughs in #AI, we developed an end-to-end system capable of intaking a note (with or without genetics) providing you with a detailed, *guideline directed*, decision support output. Try it at guidelinegenetics.com

ahajrnls.org/3YoaQD4 A variant annotation engine based on AlphaMissesne AI was able to reclassify cardiac VUS with high accuracy. #AHAJournals Aviram Hochstadt Lior Jankelson NYU Langone Health ahajrnls.org/3BXydMx

Just try it yourself with your variants. varcard.io #AI #CardioTwitter NYU Langone Health NYU Grossman School of Medicine New York University

So very excited to be entrusted with the role of Electrophysiology Director at NYU Langone in Brooklyn where we will offer the full gamut of EP services to Brooklyn and its neighboring regions. Calling for awesome RN, PA, NPs to join us as we rapidly grow so please reach out!

Excited to present our work on AlphaFold/AlphaMissesne propelled variant annotation via Varcard.io! #AHA24 NYU Grossman School of Medicine NYU Langone Health New York University NYU Tandon eppro01.ativ.me/appinfo.php?pa…

Stellar presentation by Aviram Hochstadt on our #AI tools for #genetics in #cardiology 💪💫 varcard.io #AHA24

New paper out today! TLDR: We use special self supervised learning architecture called VICReg, invented by Yann LeCun to solve the problem of insufficient labeled data We show that real prevalence of "rare" diseases may be much higher than perceived 😱 nature.com/articles/s4159…

Join Drs. Lior Jankelson Lior Jankelson and Cecilia Gonzalez Corcia for a webinar all about #Brugada Syndrome - from the basics to emerging research. Register at sads.org/what-now/livin….