We analyze performance for ECGs over 4 datasets: PTB-XL, Chapman-Shaoxing, Georgia 12-lead ECG Challenge, and CPSC. Geoff Tison

We show you how to visualize the normalized signal for each lead as well as train models with a 7-label task across datasets.

arxiv.org/abs/2304.08486

Geoff Tison UCSF Cardiology created an AI-powered algorithm that accurately predicts 💝myocardial injury using #ECG data.
✅The algorithm's negative predictive value of 80% allows it to triage low-risk patients using a simple and cost-effective ECG. rdcu.be/c6tCu #AI

I am so proud to be part of an amazing community at UC San Francisco pushing the boundaries of biomedical #AI , including UC San Francisco_BCHSI arnaoutlab Geoff Tison Sharmila Majumdar Aaron Neinstein, MD Madhumita Sushil UC San Francisco_Ci2 and so many others!

UCSF Center for Real World Evidence Collab w/ JanssenUS published in Journal of Cardiac Failure 'Electrocardiogram Detection of Pulmonary Hypertension Using Deep Learning' sciencedirect.com/science/articl… Atul Butte Geoff Tison RWE, signal processing, AND machine learning / deep learning!

We present a new perspective in @cellrepmed on the present state and future outlook of AI and machine learning in cardiovascular medicine: bit.ly/3GduJ8k Geoff Tison A thread:
#AI , #Cardiology

A study published in The Lancet Global Health by lead author Geoff Tison and UC San Francisco researchers shows that physical activity remains decreased worldwide 2 years since #COVID19 onset. doi.org/10.1016/S2214-…

AI analysis of HCM ECGs correlates with longitudinal hemodynamic, cardiac structural and laboratory markers in obstructive HCM patients. bit.ly/3i1JkXf

#JACC #cvHCM #ECG #EKG #CardioTwitter Geoff Tison Peter Noseworthy, MD

The pandemic winter is ending, so why are our pandemic habits sticking around?

I needed some #Inspiration so I reached out to some smart people for tips to reboot

npr.org/sections/healt…

Michael Honigberg, MD, MPP Katy Milkman Geoff Tison Greg Marcus Morning Edition

Reduced physical activity & weight gain are changes many have experienced since the #pandemic , but it’s “not surprising,” Dr. Geoff Tison says. “People are just less used to being active.' Learn about #GoalSetting and other tips to get back on track. ucsfh.org/3hVh4FF

☑️ November #CJC Editor's pick from Stanley Nattel Predicting Incident Heart Failure in Women With Machine Learning: The Women’s Health Initiative Cohort. Corresponding author: Geoff Tison

👉 ow.ly/lAMz50GNP39

Excited to share our work on self-supervised learning for ECGs 🩺

With small fraction of labeled data, #3KG outperforms previous self-supervised methods and is close to fully supervised performance.

Bryan Gopal Ryan Han Gautham Raghupathi w/ Geoff Tison

arxiv.org/abs/2106.04452