mortality risk. However, this technology is not yet a part of standard medical practice.
The AI-ECG Risk Estimator, or AIRE, aims to address the shortcomings of current prediction models that do not provide clear guidance for individual patients. These existing models are often complicated, lack clear explanations, and fail to align well with biological realities. The researchers behind AIRE have crafted a new tool designed to overcome these limitations.
In addition to mortality prediction, AIRE is capable of forecasting future heart failure, which occurs when the heart can no longer pump efficiently. Remarkably, the system can predict this condition accurately in nearly eight out of ten cases. «We sought to address these limitations of previous AI-ECG approaches by developing the AI-ECG risk estimator (AIRE) platform,» the researchers wrote.
The program is set to undergo trials at two hospitals under the UK's National Health Service starting in mid-2025. Experts anticipate that it could become a standard tool across the health service within five years, enabling healthcare providers to offer more personalized care.
AIRE utilizes a comprehensive dataset of 1.16 million ECG test results from 189,539 patients to inform its predictions. This extensive training has allowed it to detect future serious heart rhythm issues in three-quarters (76%) of cases and identify atherosclerotic cardiovascular disease—where arteries narrow and restrict blood flow—in 70%
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