AI System Detects Hidden Heart Disease from Routine ECGs in Under Two Seconds
Researchers at Imperial College London have developed an artificial intelligence system that can analyze routine electrocardiograms (ECGs) in under two seconds to detect hidden heart conditions such as heart failure and valve disease. Trained on millions of ECGs from Brazil and the US, the AI identifies subtle electrical patterns that may be missed by doctors, potentially aiding early diagnosis and prioritizing patients for further cardiac testing. While promising, further validation is needed before widespread clinical use.
First-hand measurement across 2 sources
We measured how 2 outlets covered this story. No outlet gave this story a measurable political slant — there is no left–right reading to report. Overall sentiment is positive (74/100). Lens Score 37/100.
Outlets measured: economictimes, firstpost. See how each one headlined and framed the same story in the source comparison below.
AI Analysis
Sentiment was consistent across outlets (74–75/100), indicating broadly factual reporting rather than editorialising.
Coverage timeline
firstpost broke this story on 1 Sept, 09:01 am. Other outlets followed.