AI Model Finds Heart Blockage
Researchers at the Mayo Clinic in the United States have developed an artificial intelligence model capable of identifying potentially dangerous heart outflow obstructions through routine ultrasound scans, without the need for specialized Doppler techniques. The study demonstrated that the model can enable early detection of hypertrophic cardiomyopathy, a condition that causes abnormal thickening of the heart muscle, with the ability to identify obstructions that may only become evident under stress conditions. Achieving high accuracy with data from 1,833 patients, the model also showed promising results on external datasets, enhancing its potential to improve early diagnosis and expand access to precise assessments in centers with limited expertise.
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