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Very important result which comports with our experience as well. Using standard ECG features can do surprisingly well for many prediction tasks, including reduced LVEF!

New work from Weston Hughes extending his already comprehensive approach to #AI for the ECG by addressing complexity and performance. Although we love the power and non-linearity of neural network models, we often wonder just how well more traditional statistical models stack

Excited to present work out today at NEJM AI with Amey Vrudhula Weston Hughes Neal Yuan, MD. We show that question formulation is important medical AI. In developing AI-ECG models, we show that choosing a REGRESSION task outperforms a CLASSIFICATION task for for low EF.

Excited to share our new work #KardioNet, an AI-enabled smartwatch ECG algorithm for serum potassium monitoring. Trained on ~300k ECG and potassium pairs at Cedars-Sinai, Kardio-Net is designed to enhance potassium monitoring via smartwatch for ESRD patients. #digitalhealth

Glad to share this work is now out in European Heart Journal – Digital Health! Thanks again to Marco Perez euan ashley James Zou David Ouyang, MD Pierre Elias, MD! Paper here: academic.oup.com/ehjdh/advance-…

Excited to share 'KardioNet' published in JACC Journals! Our proof-of-concept #AI model to detect hyperkalemia from the #AppleWatch #ECG . A huge thanks to David Ouyang, MD for all the advice and support! paper: authors.elsevier.com/a/1jvI1,siTgkq… code: github.com/ecg-net/hyperk…

So excited to welcome Weston Hughes, all-star alum of euan ashley James Zou's labs, to Columbia/NYP! The future of cardiac AI is bright.

🧵 AI for Valvular Heart Disease: DELINEATE-Regurgitation Study Excited to share our latest work on using deep learning to improve diagnosis and prediction in valve regurgitation. Let's dive in! #CardioTwitter #EchoAI Pierre Elias, MD tinyurl.com/EHJDelineate (1/8)