Particle.news

Download on the App Store

University of Mississippi Unveils AI Chip for Real-Time Heart Attack Detection

The lightweight, wearable chip offers twice the speed and high accuracy compared to conventional methods, aiming to revolutionize emergency cardiac care.

Image

Overview

  • Researchers have developed a prototype AI-driven chip that detects heart attacks in real time with 92.4% accuracy, doubling the speed of traditional diagnostic methods.
  • The chip is lightweight and energy-efficient, designed to integrate seamlessly into wearable devices like smartwatches or fitness trackers.
  • Conventional heart attack diagnostics rely on facility-based tests, causing delays that the new wearable technology seeks to eliminate.
  • The research team, led by Kasem Khalil, emphasizes a holistic approach, combining hardware and software for practical, portable solutions.
  • Future applications of the chip include monitoring other conditions such as seizures and dementia, as researchers continue to refine the technology for broader healthcare use.