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AI caught a hidden problem in one patient's heart. Can it work for others?


Peter Maercklein poses for a portrait near his home in rural Olmsted County, Minn. An artificial intelligence-enabled tool developed by Mayo Clinic picked up on his atrial fibrillation.
Joseph Ahlquist for STAT
Somewhere in Peter Maercklein’s heartbeat was an abnormality no one could find. He survived a stroke 15 years ago, but doctors never saw anything alarming on follow-up electrocardiograms. Then, one day last fall, an artificial intelligence algorithm read his EKGs and spotted something else: a ripple in the calm that indicated an elevated risk of atrial fibrillation.
Specifically, the algorithm, created by physicians at Mayo Clinic, found Maercklein had an 81.49% probability of experiencing A-fib, a quivering or irregular heartbeat that can lead to heart failure and stroke. Just days later, after Maercklein agreed to participate in a research study, a wearable Holter monitor recorded an episode of A-fib while he was walking on a treadmill. ....

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AI assigns equal weighting for coffee's role in reducing heart failure risk


A study that uses Artificial Intelligence (AI) to emphasise coffee’s importance in reducing Heart Failure (HF) risk is said to hold much promise in explaining pathways connecting dietary choices to the condition.
The study draws on the power of machine learning to rank coffee consumption as important as age, blood pressure, heart rate, and weight in links to HF risk, unintentionally becoming the research focus.
“The association between caffeine and heart failure risk reduction was surprising,”​ states Dr David Kao, senior study author, assistant professor of cardiology at the University of Colorado.
“Coffee and caffeine are often considered by the general population to be bad for the heart because people associate them with palpitations, high blood pressure, etc. The consistent relationship between increasing caffeine consumption and decreasing heart failure risk turns that assumption on its head.”​ ....

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