This week in Cardiovascular AI
Tempus ECG-AF Algorithm: Enhancing Early Detection of Atrial Fibrillation
Welcome back to to This Week in Cardiovascular AI - a bi-monthly email newsletter for followers and subscribers that summarizes recent research in Cardiovascular AI that we find important and unique. As a reminder, this newsletter is a companion to CardioCyper, a long-form blog dedicated to the expanding intersection of Digital Health, Artificial Intelligence, Machine Learning and Healthcare, especially Cardiology and Electrophysiology.
This week we would like to announce our most recent blog post (below), which should be of interest to newsletter subscribers. We will be back next week with our bi-monthly summary of the latest Cardiovascular AI research.
Atrial fibrillation (AF) remains a silent threat, often undiagnosed until complications arise. But what if AI could flag at-risk patients earlier—before symptoms even appear?
In the latest CardioCypher post, we break down Tempus AI’s ECG-AF algorithm, the first FDA-cleared AI tool designed to analyze 12-lead ECGs and predict AF risk up to a year in advance.
🩺 How does it work?
📊 What’s the accuracy?
🏥 Who’s using it in clinical practice?
Dive into the full analysis here:
👉 Read the post