S-47-3: APPLICATION OF AI FOR SCREENING CARDIOVASCULAR DISEASE

Abstract

Recent advancements in information technologies and computer science brought dramatic changes not only in the field of business but also in the field of medicine. By analyzing big data using artificial intelligence techniques, especially deep learning, computers now have similar or even better diagnostic performance than trained physicians in medical image interpretation. In addition to their speed, reproducibility, and tirelessness, these artificial intelligence programs are starting to reveal their possibility to find hidden information from medical images. For example, studies have shown that not only present arrhythmias but also the presence of myocardial dysfunction and latent arrhythmias can be found in a body-surface ECG. Given the extremely high prevalence of hypertension worldwide, screening the cardiovascular risk in all patients with hypertension has not been realistic so far. However, such artificial intelligence may become a wider and more ubiquitous tool for the general screening of cardiovascular risk. Furthermore, big data generated from digital tools surrounding our daily life, such as laptops, smartphones, and smartwatches may provide further information regarding healthy or risky lifestyles, with which the risk stratification can be personalized. Thus, the current achievement in the application of artificial intelligence technologies in medicine and future perspective in regard to cardiovascular risk screening in patients with hypertension will be summarized in the talk.