How AI is Pushing the Limits of Cardiac Medicine

Fujitsu / April 14, 2022

While various diseases have been eliminated or controlled by advancements in medicine, heart disease is still the leading cause of death in the world after more than 30 years (*1) and, in Japan, it is the second leading cause of death after cancer (malignant neoplasm) since 1997 (*2).

 Early detection of heart disease, which is essential for reducing mortality, still relies on the conventional method of physicians reading electrocardiograms (ECG). Ultrasonography, which can make a definitive diagnosis, is not always used due to a lack of equipment and human resources.

 However, AI-based ECG analysis is about to revolutionize the speed and accuracy of determining the presence or absence of cardiac disease. We spoke with Dr. Katsuhito Fujiu, Medical Doctor, Cardiologist. Associate Professor, Department of Cardiovascular Medicine, the University of Tokyo; Yoshimasa Kadooka, the principal expert in the Uvance Value Design Office, AI Engineering, Fujitsu Ltd; and Yuhei Umeda, a project manager at Fujitsu Research, AI Laboratory, to learn more about this project.

The social issue of increasing rates of cardiac disease and the shortage of medical specialists

--Why is heart disease still the leading cause of death in the world and the second main cause in Japan?
Dr. Fujiu: As a specialist in cardiac medicine, I have spent many years researching the factors that cause heart disease and how to prevent it. For this project, I am in charge of evaluating the clinical perspectives of the AI algorithm and the research ethics application part of the AI in learning patients’ diagnostic information.
 Identifying the reasons for the high prevalence of heart disease remains a difficult challenge. Heart disease is not merely the leading cause of death; it is also on the rise. While some diseases have decreasing mortality rates, heart disease is still increasing in Japan, along with cancer. It also continues to be the number one killer in the world, which is why cardiologists are often asked if they are fulfilling their duties.

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Kadooka: I have worked with Fujitsu on the launch of this project regarding the social implementation of AI. I had been involved in heart research for more than 15 years, including developing a heart simulator using a supercomputer. For the re-employment after retirement from Fujitsu’s main unit, I joined the AI research group that was considering the use of TDA to analyze ECGs. I had an acquaintance who suddenly died of heart disease, and I wanted to join Fujitsu’s mission to reduce the mortality rate from heart disease. Luckily, I met the wonderful Dr. Fujiu, which is why I am here.

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