Can ECG #AI predict who will develop #afib after stroke (eg, to prioritize for ILR)? Yes! New in CircEP our ML4H ECG #AI #afib risk model discriminates cardioembolic stroke (>> clinical factors) & stratifies risk of new #afib after stroke: bit.ly/3TT5jmz

What does a 1-parameter autoencoder of cardiac MRIs learn? If you use that 1 number to parameterize a circle you learn the heart beat, if not, you learn the exposure value of the image -- It depends on the inductive bias! Deets in: journals.sagepub.com/doi/10.1177/11…

Just how many diseases can you identify with a good old 12-lead #ECG? NEW npj Digital Medicine, co-led w/ Sam Freesun Friedman, RVpacing & xwang, we use an autoencoder to map ECG to phenome, finding associations btwn ECG & >600 conditions Broad Institute ML4H Mass General Heart LINK⬇️

In a new study, researchers from @mghhearthealth and colleagues show that with #AI, the ECG contains information that can help detect over 600 diseases. The study was published in Nature Portfolio. Read more: pubmed.ncbi.nlm.nih.gov/39799251/ Sam Freesun Friedman Shaan Khurshid @rvpacing

NEW from our group Broad Institute Mass General Heart Patrick Ellinor led by Shino Kany and Sam Freesun Friedman ECG2CAD: An AI model for detection of coronary artery disease using 12-lead ECGs JACC Journals sciencedirect.com/science/articl…