Heart Podcast AI-powered ECGs – what’s hiding in plain sight?
Dec 17, 2024
Rohan Khera, a cardiologist and data scientist at Yale University, discusses groundbreaking AI applications in interpreting ECGs. He reveals how AI can uncover insights often overlooked in traditional analyses. The conversation dives into innovations in diagnosing rhythm disorders and improving cardiac risk assessments through augmented data. Khera also highlights the transformative potential of AI in low-resource healthcare settings, showcasing how these advancements could revolutionize cardiovascular care globally.
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ECGs: A Century of Insights
- ECGs provide accessible cardiac diagnostics using surface electrical recordings.
- They've been instrumental for over a century, offering a wealth of information.
Democratizing ECG Analysis
- AI can democratize ECG interpretation, reducing reliance on extensive training.
- AI excels in pattern recognition, aiding in diagnosis and report generation.
AI for ECG Data
- AI models can analyze both raw ECG voltage data and images.
- Image-based analysis offers better integration with existing clinical workflows.