Rohan Khera
@rohan_khera
Assistant Professor @YaleMed, Cardiologist @YaleCardiology. Working on data-driven cardiovascular care innovation @cards_lab. Assoc Ed @JAMA_Current. My views.
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! jamanetwork.com/journals/jama/……
After 2 months of embargo for #AHA24 Late Breaking presentation, we are pleased to announce PanEcho - Complete AI-enabled echocardiography interpretation with multi-task deep learning Led by @giholste & @ekoikonomou @cards_lab Preprint, code, model here:…
Check out our study in @ESC_Journals #EHJ, led by @ekoikonomou, which describes new AI-based digital biomarkers that can leverage simple data (ECG and/or Echo) to identify those at risk of developing clinical ATTR cardiac amyloidosis For a disease with many emerging…
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…
💔💔 Rest in peace, Atul.. It is such a privilege that I got to know him, even though it was only for a little bit. His energy, enthusiasm, and generosity were infectious. I heard him share a quote: “Credit is infinitely divisible. Give it away every chance you get. There’s…
Atul Butte died yesterday. The world lost a giant. A big bear of a man. With a huge smile. With love for everyone. With energy that could power a room. I loved everything about Atul. I loved how he was always happy. I loved how excited he was about science and helping people.
Starting this AY 2025–2026, our program will offer a new Distinction in "AI & Innovation in Medicine," designed to train residents in applying AI and machine learning to medical education, clinical care, and research. @YaleIMed @MarkDSiegel1 Learn more: bit.ly/4o1mFLC
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…
🚨 The @cards_lab at Yale is recruiting postdocs in our clinician–data scientist track! 🔹 MD or MD/PhD 🔹 Python/R skills 🔹 Research experience 🔹 Passion for AI + digital health 📝 Apply early: CV + 250-word statement 🔗 apply.cards-lab.org/apply/CATSP004 #AI #Cardiology #Postdoc
In @NaturePortfolio's NPJ Cardiovascular Health, read our review on AI-enhanced digital health with consumer devices We discuss using consumer devices: - to build robust measures of health - synthesize them for clinicians to leverage - implement them in care for scalable CV…
Exceptional @YaleCardiology grand rounds on the evaluation of a series of health policy initiatives across major administrations by good friend @rkwadhera @SmithBIDMC Amazingly thoughtful & creative assessment of the impact on cardiovascular health and outcomes across a series…
Now out in @Nature_NPJ Cardiovascular Health #AI + #wearable & portable devices can transform CV care - enabling 📈scalable screening ⏲️early detection 📲remote monitoring 🔗🔗nature.com/articles/s4432… w/ @rohan_khera @cards_lab @YaleMed New frontiers in #DigitalHealth #CVCare
An #AI system that automatically interprets echocardiograms maintained high accuracy across geography and time from complete and limited studies. @rohan_khera ja.ma/45zhTye
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: medicine.yale.edu/news-article/a…
Thank you @EricTopol for highlighting our work! What an honor. This is the product of deep interdisciplinary collaboration between engineers & clinicians. Grateful to teammates & mentors @ekoikonomou @rohan_khera + Model is open-source for researchers! github.com/CarDS-Yale/Pan…
When A.I. can interpret an echocardiogram. (one of the most complex medical images) jamanetwork.com/journals/jama/…