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Arrhythmia diagnosis using AI and even development of predictive diagnosis solutions

Arrhythmia diagnosis using AI and even development of predictive diagnosis solutions
Arrhythmia diagnosis using AI and even development of predictive diagnosis solutions

Study to predict future cardiac arrhythmia occurrence by capturing electrocardiogram signals

Ewha Womans University Mokdong Hospital, Department of Cardiology, Jun-beom Park, and Professor Tae-young Shin, Department of Urology.

A domestic research team announced research results showing that arrhythmia can be diagnosed using artificial intelligence (AI). It is receiving more attention as it has succeeded in industrializing medical devices.

Mr. A felt symptoms of irregular heartbeat. He went to the hospital due to sudden palpitations, but his heart rate returned to normal and an electrocardiogram showed no abnormalities. How can Mr. A, who periodically felt discomfort with his heartbeat a few times, but claims that the problem disappears as soon as he goes to the hospital, receive a diagnosis of arrhythmia?

Professor Park Joon-beom of the Department of Cardiology and Professor Tae-young Shin of the Department of Urology at Ewha Womans University Mokdong Hospital recently published a study titled ‘Predicting Future Incidences of Cardiac Arrhythmias Using Discrete Heartbeats from Normal Sinus Rhythm ECG using deep learning methods. Signals via Deep Learning Methods)’ research results were published in the international academic journal ‘Diagnostics’.

The research team sought to reduce social costs by defining arrhythmia (CIA: Clinically Important Arrhythmia) that requires treatment and predicting the risk period for a clear event using artificial intelligence. According to the research results, by analyzing the arrhythmia algorithm, it is possible to check for signs of heart rhythm abnormalities within the next two weeks.

Park Jun-beom, a professor of cardiology at Ewha Womans University Mokdong Hospital who is training as a visiting professor at Emory University in the U.S., said, “Currently, the research is already in the commercialization stage at Mayo Clinic in the U.S. This is because the social value of early diagnosis of arrhythmia has been recognized.” “The Ministry of Food and Drug Safety has already completed confirmatory clinical trials, and if procedures such as registration of innovative medical devices proceed smoothly, it could be a golden opportunity for Korea to enter commercialization faster than the United States,” he said.

Researchers achieved meaningful results by applying the research to industry.

Synergy AI, a medical artificial intelligence software company founded by Professor Shin Tae-young, developed Mac’AI, Korea’s first ‘artificial intelligence (AI)-based arrhythmia prediction and diagnosis solution’.

McKay screened and pre-processed electrocardiogram (ECG) big data based on precise standards and applied deep learning learning techniques, and designed it to cope with various arrhythmias that require treatment. Therefore, the arrhythmia prediction accuracy reaches 92.7%.

This predicts the risk of arrhythmia occurring within 14 days, helps medical staff make an early diagnosis, and clearly sets a treatment direction, allowing patients to prevent serious side effects and reduce medical expenses.

In recognition of its outstanding performance, McKay will receive the 2024 Innovation Award at the Consumer Electronics Show (CES), which will be held in Las Vegas, USA from January 9 to 12, 2024.

Professor Shin Tae-young and CEO of Synergy AI said, “It is meaningful to continue our research results into the development of medical devices. By participating in CES 2024, we will make McKay widely known and present a groundbreaking alternative to arrhythmia treatment at home and abroad.”

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The article is in Korean

Tags: Arrhythmia diagnosis development predictive diagnosis solutions


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