Celebrating everyone who makes the dream work CarDS Lab at #AHA23

It was a great pleasure to present our study on developing a noise-resilient deep learning model for detecting multiple structural heart diseases using single-lead wearable ECGs at #AHA23. Huge 🙏 to Rohan Khera and CarDS Lab! ahajournals.org/doi/abs/10.116…

An overdue update from #AHA23 is Akshay Khunte's (CarDS Lab & Yale University '24) amazing work on improving access to ECG Diagnostics for 🌎 The preprint will be up soon, but a link to our ambitious #ECG_GPT project: cards-lab.org/ecg-gpt ECG Photo 📸 --> ECG read to allow patient

Can AI/ML help make randomized clinical trials (RCTs) smaller & faster? In npj Digital Medicine, led by Evangelos K. Oikonomou CarDS Lab we present a novel, fully-automated, predictive enrichment strategy for RCTs Using computational phenomapping in interim analyses nature.com/articles/s4174…

Only 1 in 8 patients with cardiovascular disease are diagnosed before the onset of symptoms, Dr Rohan Khera notes CVCT - CardioVascular Clinical Trialists. Work from CarDS Lab Yale Cardiology by Lovedeep Dhingra Evangelos K. Oikonomou Phyllis Thangaraj Veer Sangha Arya Aminorroaya Akshay Khunte has shown that #AIECG can

Great to get to work with this amazing group every day. Happy Holidays from our CarDS Lab family to yours! Yale Cardiology Yale University

Please consider sharing with your network. Our lab is growing and has many opportunities across the career spectrum. Learn more here: cards-lab.org/join-the-team

Excited to share CarDS Lab's 1st App Store iOS entry - CarDS-Plus 📲 What is special about this App? Why did a research lab need one? I have shared before how CarDS Lab has developed AI models to detect various cardiomyopathies on smartwatch⌚️ & portable ECGs ⚡️ (link in

Proud of Akshay Khunte CarDS Lab for an amazing presentation of his work on #ECGGPT at the #YaleAI in Medicine Symposium A fantastic forum for trainees & faculty across Yale Yale Biomedical Informatics & Data Science Yale Computer Science Yale Data Science

"ECG Biometrics"☝️👁️👥 Those who follow our work know that we are committed to enhancing the ability to diagnose cardiovascular conditions directly from images of ECGs. This includes rhythm/conduction problems but also structural heart diseases. (links to papers in

The CarDS Lab will be well-represented at AHAMeetings #AHA24. If you are there, please join us as we share our science, spanning broad applications of #AI and #MachineLearning in cardiovascular care. Full schedule (and in thread): cards-lab.org/updates/aha2024 Our team will share

The lab that sails together, stays together ❤️

Busy 🚨 poster sessions for CarDS Lab sharing AI cardiology insights AHAMeetings #AHA24 🫀Revolutionizing Cardiac Care: Innovations in AI-ECG 📑From Clinical Trials to Electronic Health Record Summarization: How AI Is Revolutionizing Treatment Discovery and Delivery

Lovedeep Dhingra CarDS Lab AHAMeetings Yale Cardiology Yale Internal Medicine Rohan Khera Arya Aminorroaya Anjali Mangla Sumukh Vasisht Shankar Yale Biomedical Informatics & Data Science Akshay Khunte CarDS Lab @nyumst AHAMeetings #AHA24 Multinational Validation of Fully Automated Diagnostic Reports using Artificial Intelligence-enabled Application for ECG Images

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 Greg Holste & Evangelos K. Oikonomou CarDS Lab Preprint, code, model here:

Happy New Year from my friends & work family at CarDS Lab. Grateful for 2024, where we grew our group & strengthened our culture & community around advancing science while having fun 😊 Hoping to build on this foundation in 2025! Yale School of Medicine Yale Cardiology

Many smartwatches & portable devices now have 1-lead ECG ⌚️🫀 How can we leverage them as screening devices for structural heart diseases (SHDs)? In European Society of Cardiology Journals #EHJDigitalHealth, led by Arya Aminorroaya CarDS Lab we present #ADAPT_Heart - an AI-ECG tool for multi-SHD dx

🔒Can #AI predict risk of #HeartFailure using just single-lead ECGs? 🔑🆕 in JAMA Cardiology: our noise-adapted AI predicted future HF risk in diverse cohorts 🇺🇸🇬🇧🇧🇷, presenting a scalable risk stratification strategy with #portable #wearable ECGs Rohan Khera CarDS Lab 1/n 🧵⬇️

🧵 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

🫀 ECGs power many #AI applications, but not everyone gets an ECG. 📱 Our single-lead, noise-resilient AI-ECG detects structural heart disease & predicts heart failure risk using ECGs from wearable/portable devices 🔗 academic.oup.com/ehjdh/article/… Yale School of Medicine Yale Cardiology rohan khera