Mayo Clinic trial signals about the potential AI-guided heart disease detection

Health and Wellness Informatics News

Mayo Clinic trial signals about the potential AI-guided heart disease detection

An artificial intelligence-enabled electrocardiogram is helping identify patients with low ejection fraction.

The Mayo Clinic Came up with the release of the results for the trial this week. This suggests the potential for artificial intelligence to assist with early diagnosis. It will help in diagnosing some types of AI-guided heart disease detection. The study also found that an AI-enabled electrocardiogram is increasing the diagnosis for low ejection fraction.

The AI-enables EJG is facilitating the diagnosis of patients with a low ejection fraction in the real world. It has the setting by identifying people who previously would have slipped through the cracks.

The Ejection fraction is a kind of measurement of how much blood the left ventricle pumps out with each contraction. It is lower than the normal ejection fraction, which can be a sign of heart failure.

The diagnosis of the low ejection fraction can be the key to a much effective treatment. According to Mayo Clinic, an echocardiogram can do so. However, it is time-consuming and much resource-heavy. In contrast, an EKG is easily available, which is inexpensive and fast.

The ECG AI-guided Screening for the Low Ejection Fraction or EAGLE was aiming to determine a few things. It was also trying to determine whether the AI-enabled EKG algorithm trial can help improve the diagnosis.

Over the eight months, 22641 adult patients received an EKG under the supervision of 348 primary care clinicians in Minnesota. The clinicians with the intervention groups have the alerts with positive screening results for the low ejection fraction.

The AI has found positive results in 6% of the patients. However, the proportion who received an echocardiogram was quite similar overall. The AI intervention had its increase in the diagnosis with the low ejection fraction.

The low ejection fraction algorithm has received the breakthrough designation for Food and Drug Administration. With EAGLE, the information was available in the electronic health record. The care team can also see the results and decide how to make use of the information.

Companies have now developed several innovations from the past few years. It is aiming at using AI to assist with the detection and diagnosis of heart disease. In 2018 Google AI came with an announcement which is predicting cardiovascular problems. It is using the images of the retina, which is a breakthrough.


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