Dr. Ahmed El-Medany

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AI detects heart failure and valve disease from a standard ECG in under two seconds

As of September 2026: Led the AI ECG analysis

An AI tool built at Imperial College London reads heart failure and heart valve disease from a standard electrocardiogram (ECG), a test in clinical use for a century. In a 67,000-patient US trial, it flagged up to 81 percent of heart failure cases and 90 percent of valve disease cases. Each read takes under two seconds.

Updated Sep 28

Notable Quotes

"These results suggest there is potentially far more information hidden within a routine ECG than we can recognize by looking at it ourselves."

from AI detects heart failure and valve disease from a standard ECG in under two seconds · Updated Sep 28

"The important next questions are how it performs in NHS patients and whether the same information can be captured using much simpler portable ECG devices."

from AI detects heart failure and valve disease from a standard ECG in under two seconds · Updated Sep 28

"Another potential application of this AI model is to opportunistically diagnose heart failure and heart valve disease in whom these conditions are not suspected. The AI model could be run on all ECGs done in a hospital to flag those at highest risk of these diseases, so that they can be diagnosed earlier."

from AI detects heart failure and valve disease from a standard ECG in under two seconds · Updated Sep 28