• Home
  • Technology
  • Gaming
  • Entertainment
  • World & Business
  • Science
  • Sports
  • AI
HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
Technology

Imperial College Researchers Train AI on ECGs for Heart Detection

Researchers trained Cardiovolt on millions of ECGs to spot patterns linked to heart failure and valve disease.

TE
1 Source, 27d ago, first seen 27d ago

TLDR

Techstrong.ai posted that researchers at Imperial College London trained an AI model called Cardiovolt on millions of ECGs linked to medical histories. The post states the model detects patterns associated with heart failure, valve disease, and future risk in about two seconds. It adds that roughly one billion ECGs occur worldwide each year. The tweet supplies no accuracy figures beyond an incomplete mention and presents no independent confirmation or first-party announcement from the college.

Combined views

15

1 Source, first seen 27d ago

Combined views

15

1 Source, first seen 27d ago

Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

Sentiment

Positive——Negative

Summary

Not enough discussion yet.

No sentiment analysis available yet.

1 Source

@TechstrongaiAI is learning to see what the human eye misses in a heartbeat. Researchers at Imperial College London trained Cardiovolt on millions of ECGs linked to medical histories, and the model can now detect patterns associated with heart failure, valve disease, and future risk in about two seconds, with accuracies reaching 93% for left ventricular dysfunction. The same principle is extending to mammograms, where AI has identified women with a history of stroke 86% of the time using images already collected for breast cancer screening. That means routine tests may soon carry far more diagnostic value without requiring new hardware or additional scans. Read more about Cardiovolt and the broader use of AI in early disease detection: https://zpr.io/etSzFmX3se53 #AI #Healthcare #Cardiology #MedicalAI
  • HomeTechnologyGamingEntertainmentWorld & BusinessScienceSportsAI
    • Home
    • Technology
    • Gaming
    • Entertainment
    • World & Business
    • Science
    • Sports
    • AI

    1 Source

    @TechstrongaiAI is learning to see what the human eye misses in a heartbeat. Researchers at Imperial College London trained Cardiovolt on millions of ECGs linked to medical histories, and the model can now detect patterns associated with heart failure, valve disease, and future risk in about two seconds, with accuracies reaching 93% for left ventricular dysfunction. The same principle is extending to mammograms, where AI has identified women with a history of stroke 86% of the time using images already collected for breast cancer screening. That means routine tests may soon carry far more diagnostic value without requiring new hardware or additional scans. Read more about Cardiovolt and the broader use of AI in early disease detection: https://zpr.io/etSzFmX3se53 #AI #Healthcare #Cardiology #MedicalAI
    Today's Rank

    —

    Not ranked yet

    Today's Rank

    —

    Not ranked yet