AI-Powered Wearables: The Future of Heart Attack Detection Starts Now

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In this episode of Vpod.ai, we explore a groundbreaking innovation from the University of Mississippi: an AI-powered chip designed for wearable devices that can detect heart attacks in real time with over 92% accuracy — and potentially twice as fast as current hospital-based methods.

Join us as we unpack:

  • How this lightweight, low-power chip works inside wearables like smartwatches
  • The role of artificial intelligence in analyzing ECG signals continuously
  • Why “time is muscle” in heart attack response — and how this chip could save lives
  • The engineering behind the chip: a collaborative effort in hardware, software, and AI
  • The future of health monitoring: beyond heart attacks, toward seizure detection, early dementia signs, and more

This episode is a must-listen for anyone interested in biomedical engineering, digital health, or the next generation of wearables that could literally be life-saving.

🔗 Sponsored by StoneFly — enterprise storage, backup, disaster recovery & AI infrastructure experts. Visit stonefly.com for more.

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