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New Study Demonstrates Value of AI-Enabled EKG Algorithm in Routine Practice Written by AZoRoboticsMay 7 2021 There are several forms of heart disease, but some types of this medical condition, like asymptomatic low ejection fraction, can be difficult to detect, particularly during the early stages when therapies would be highly effective. Image Credit: Mayo Clinic. The EAGLE—short for ECG AI-Guided Screening for Low Ejection Fraction—trial attempted to establish whether an artificial intelligence (AI) screening tool designed to spot low ejection fraction through EKG data could enhance th...

Photo by FG Trade/Getty Images The Mayo Clinic released results of a trial this week that suggests potential for artificial intelligence to assist with early diagnosis of some types of heart disease.   The study, published in Nature Medicine on Thursday, found that an AI-enabled electrocardiogram increased the diagnosis of low ejection fraction.   "The AI-enabled EKG facilitated the diagnosis of patients with low ejection fraction in a real-world setting by identifying people who previously would have slipped through the cracks," said Dr. Peter Noseworthy, a Mayo Clinic cardiac electrophysi...

Date Time Trial demonstrates early AI-guided detection of heart disease in routine practice Heart disease can take a number of forms, but some types of heart disease, such as asymptomatic low ejection fraction, can be hard to recognize, especially in the early stages when treatment would be most effective. The ECG AI-Guided Screening for Low Ejection Fraction, or EAGLE, trial set out to determine whether an artificial intelligence (AI) screening tool developed to detect low ejection fraction using data from an EKG could improve the diagnosis of this condition in routine practice. Study findin...