Study of AI-enabled EKGs Finds that Difference Between Numerical Age and Biological Age Significantly Affects Health, Longevity dicardiology.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from dicardiology.com Daily Mail and Mail on Sunday newspapers.
A new study found that differences between a person s age in years and his or her biological age, as predicted by an artificial intelligence (AI)-enabled EKG, can provide measurable insights into health and longevity, according to Mayo Clinic.
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ROCHESTER, Minn. You might be older - or younger - than you think. A new study found that differences between a person s age in years and his or her biological age, as predicted by an artificial intelligence (AI)-enabled EKG, can provide measurable insights into health and longevity.
The AI model accurately predicted the age of most subjects, with a mean age gap of 0.88 years between EKG age and actual age. However, a number of subjects had a gap that was much larger, either seemingly much older or much younger by EKG age.
The likelihood to die during follow-up was much higher among those seemingly older by EKG age, compared to those whose EKG age was the same as their chronologic or actual age. The association was even stronger when predicting death caused by heart disease. Conversely, those who had a lesser age gap ? considered younger by EKG - had decreased risk.
You might be older ― or younger ― than you think. A new study found that differences between a person's age in years and his or her biological age, as.