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Lior Jankelson Profile
Lior Jankelson

@ExtraStim

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Following
838
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Cardiac Electrophysiologist| Director, Inherited Arrhythmia Program & AI/ML in Cardiology Group| Associate Professor of Medicine & Biomedical Engineering, NYU

New York City
Joined June 2013
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@tsoofbaror
Tsoof Bar Or
10 hours
כמה שX זה כיף. בפוסט של אתמול הגיב פרופ׳ @ExtraStim מNYU עם מאמר מדליק שלהם על שימוש בAI ברפואה. אז בעוד shameless self promotion, ניסיתי להוריד את מה שהם עשו שם לקרקע בשפה פשוטה ועל הדרך גם לספר קצת על תסמונות גנטיות נדירות באק״ג. >>
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@mabou_khalil
Michel Abou Khalil
2 months
“Wearables are changing how we see AFib: new disease, new nomenclature, new classification. It’s no longer black & white.” - @nmarrouche Fantastic session: How can AI help overcome challenges in EP? #HRX2025
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@MassadChristian
Christian Massad
2 months
Great roundtable on using AI to tackle the biggest challenges in EP. One of the key messages : Electrophysiologists must remain the drivers of AI in the field, with clinical relevance remaining the top priority. #HRX2025 @nmarrouche
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@liattsoref
Liat Tsoref
2 months
@MassadChristian @nmarrouche @EmmaSvennberg @GerdHindricks A fantastic and indightful roundtable! Thank you to all the participants for the enriching conversation. @yitzip @nmarrouche @ExtraStim
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@HanFengGHD
Han Feng
2 months
Fascinating roundtable on AI's role in managing AF. Before we deploy AI to tackle AF, we must build it on the right foundational "bricks." A crucial consensus: there is no single binary yes/no marker for AF and that’s why we need AI. #HRX2025 @experienceHRX @ExtraStim
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@ExtraStim
Lior Jankelson
3 months
Will be moderating at @experienceHRX this interesting roundtable with @nmarrouche @GerdHindricks @EmmaSvennberg and @JNJMedTech What would you like us to discuss? How Can AI Help Overcome Challenges in Electrophysiology?
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experiencehrx.com
Explore emerging technologies and strategies in cardiac mapping at HRX Live 2025. Leading innovators and EP clinicians discuss the future of arrhythmia care.
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@ExtraStim
Lior Jankelson
3 months
Our home-grown AF from Sinus AI prediction model published today in #EHJ digital health. tldr: We reach AUC 0.9 that holds on external validation across continents!💥 @ehj_ed @nyuniversity @nyulangone @DrCardioCon Read here: https://t.co/yaCdzLuMQc
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academic.oup.com
AbstractAims. We aimed to develop and externally validate a convolutional neural network (CNN) using sinus rhythm electrocardiograms (ECGs) and CHARGE-AF f
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@glennfishman
Glenn Fishman
4 months
Proud that @nyulangone is ranked #1 in the nation for Cardiology, Heart & Vascular Surgery by @usnews. A true reflection of our extraordinary team, collaborative culture, and unwavering focus on patient care. Grateful to be part of it. #NYULangone #CardiologyExcellence
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@ExtraStim
Lior Jankelson
4 months
🚀 Exciting news! I’m speaking at HRX Live 2025 on September 4-6 at the stunning Signia by Hilton Atlanta. Join me—let’s push boundaries and drive meaningful change! Register now: #HRX2025
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i.snoball.it
I’m attending HRX Live 2025 in Atlanta on September 4-6! This immersive event brings together innovators in healthcare, AI, and digital health.
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@ExtraStim
Lior Jankelson
4 months
Super important work. Fortunate to contribute. De-shame Flec!
@Ed_Alania
Edgardo Alania
4 months
💊 Long-Term Follow-Up Data on Flecainide Use as an Antiarrhythmic in ARVC: A Multicenter Study @JACCJournals #Cardiology #CardioEd #EPeeps @Cardioinfo_it @mauripieroni72
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@ExtraStim
Lior Jankelson
4 months
Thanks for highlighting @utedrow - this is such an important effort we were fortunate to contribute to. Its high time to de-shame Flecainide! we show a dramatic reduction in ventricular arrhythmia with Flec. IMO incredibly useful tool. @marina_cerrone @nyulangone
@utedrow
Usha Tedrow
4 months
Very important paper! Commentary by @UBatnyam_EP https://t.co/fIBbLXP7np
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@SADSFoundation
SADS Foundation
7 months
Join Drs. Lior Jankelson @ExtraStim and Cecilia Gonzalez Corcia for a webinar all about #Brugada Syndrome - from the basics to emerging research. Register at https://t.co/ntGkf2KR7S.
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@ExtraStim
Lior Jankelson
8 months
New paper out today! TLDR: We use special self supervised learning architecture called VICReg, invented by @ylecun to solve the problem of insufficient labeled data We show that real prevalence of "rare" diseases may be much higher than perceived 😱 https://t.co/JTQB1c5bIs
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nature.com
Scientific Reports - Self-supervised VICReg pre-training for Brugada ECG detection
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@ExtraStim
Lior Jankelson
1 year
Stellar presentation by @AviramHochstadt on our #AI tools for #genetics in #cardiology 💪💫 https://t.co/ec0gn4tzrd #AHA24
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@ExtraStim
Lior Jankelson
1 year
Excited to present our work on AlphaFold/AlphaMissesne propelled variant annotation via https://t.co/lBqgXNzhKi! #AHA24 @nyugrossman @nyulangone @nyuniversity @nyutandon https://t.co/hoS8lr4nxP
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@FYang_EP
Felix Yang, MD, FACC, FHRS
1 year
So very excited to be entrusted with the role of Electrophysiology Director at @NYULangoneBK 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!
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@ExtraStim
Lior Jankelson
1 year
@JAHA_AHA
JAHA
1 year
https://t.co/aigtU5FCI1 A variant annotation engine based on AlphaMissesne AI was able to reclassify cardiac VUS with high accuracy. #AHAJournals @AviramHochstadt @ExtraStim @nyulangone https://t.co/mjq7n4LWqD
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@JAHA_AHA
JAHA
1 year
https://t.co/aigtU5FCI1 A variant annotation engine based on AlphaMissesne AI was able to reclassify cardiac VUS with high accuracy. #AHAJournals @AviramHochstadt @ExtraStim @nyulangone https://t.co/mjq7n4LWqD
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@ExtraStim
Lior Jankelson
1 year
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 https://t.co/bvxLVtsBX4
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@ExtraStim
Lior Jankelson
1 year
AI Tool Doesn’t Increase Appropriate Referrals to Angiography, but Might Help Some
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tctmd.com
There was evidence that AI augmentation could be useful in low-volume centers lacking enough patients to maintain expertise.
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