Kobe University Hospital’s Dr. Nishimori Makoto and Project Assistant Professor Kiuchi Kunihiko et al. (of the Division of Cardiovascular Medicine, Department of Internal Medicine) have developed an AI that uses multiple kinds of test data to predict the location of surplus pathways in the heart called ‘accessory pathways’, which cause the heart to beat irregularly. In this study, the researchers were able to improve diagnosis accuracy by having the AI learn from two completely different types of test results—electrocardiography (ECG) data and X-ray images. It is hoped that this methodology can be applied to other disorders based upon the successful results of this research.