How Can Wearables Detect Irregular Heartbeats? With: Dr. Euan Ashley
In this conversation, Dr. Euan Ashley explains how wearable devices can identify atrial fibrillation (AFib), a major risk factor for stroke, before symptoms occur. By monitoring the intervals between heartbeats, these devices detect the irregular rhythm characteristic of AFib, alerting users to seek medical evaluation. Unlike traditional detection methods—which require short-term clinical monitoring—wearables provide continuous, long-term observation, making it possible to catch AFib early, even years before it might be detected in a clinic. Ashley notes that while sophisticated AI can enhance diagnostics, detecting AFib requires only identifying regular versus irregular rhythms.
Episode Contents:
About the Guest
Dr. Euan Ashley is Chair of the Department of Medicine at Stanford University, a pioneer in precision medicine and genomics. Learn more at: https://www.linkedin.com/in/euanashley/
Key Takeaways
- AFib causes irregular heartbeats that can lead to stroke.
- Wearables detect AFib by spotting irregular beat intervals.
- Continuous monitoring beats occasional clinical tests.
Transcript Summary
How can wearables detect atrial fibrillation?
AFib disrupts the heart’s regular beat, causing irregular intervals between beats. Wearables detect this irregularity over time.
Why is continuous monitoring important?
Traditional detection requires short-term clinical tests, while wearables can monitor 24/7 and catch AFib the moment it occurs.
Do you need AI for AFib detection?
No—basic detection is possible by identifying irregular vs. regular rhythms, though AI may enhance other diagnostic capabilities.
More Topics
- AI in Patient Care
- AI in the Healthcare Industry
- AI and Medical Innovation
- Healthcare Ethics and Policy
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About the Series
AI and Healthcare—with Mika Newton and Dr. Sanjay Juneja is an engaging interview series featuring world-renowned leaders shaping the intersection of artificial intelligence and medicine.
Dr. Sanjay Juneja, a hematologist and medical oncologist widely recognized as “TheOncDoc,” is a trailblazer in healthcare innovation and a rising authority on the transformative role of AI in medicine.
Mika Newton is an expert in healthcare data management, with a focus on data completeness and universality. Mika is on the editorial board of AI in Precision Oncology and is no stranger to bringing transformative technologies to market and fostering innovation.