Prediction of Cancer Therapy-Related Cardiac Dysfunction Using ECG

Administration of anticancer drugs in cancer treatment can cause side effects on the heart. In this research, we are developing systems that predict the risk of cancer therapy-related cardiac dysfunction (CTRCD) early from ECG data. Research approach: - Detection of subtle change patterns in 12-lead ECG - Risk prediction models using time-series deep learning - Visualization of prediction rationale using explainable AI We are advancing verification using real clinical data through joint research with the National Cancer Center.