AI-Powered ECGs: Identifying Heart Disease Risk in Women, Study Reveals
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A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients, could enable doctors to identify high-risk women earlier, enabling better treatment and care. The research has been published in Lancet Digital Health.
An ECG records the electrical activity of the heart and is one of the most common medical tests in the world. In their study, funded by the British Heart Foundation, the researchers used artificial intelligence to analyse over one million ECGs from 180,000 patients, of whom 98,000 were female. the researchers developed a score that measures how closely an individual's ECG matches ‘typical’ patterns of ECGs for men and women, and which showed a range of risk for each sex. Women whose ECGs more closely matched the typical ‘male’ pattern – such as having an increased size of the electrical signal – tended to have larger heart chambers and more muscle mass.
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