Radiological images acquired by using X-ray CT, fluoroscopy, and MRI can visualize what happens in the body and play important roles to achieve better diagnosis and treatment. To derive clinically useful information and findings from those radiological images, our department aims at studying and developing new methods and theories of computational intelligence including AI and machine learning technologies and implementing them as intelligent medical systems to advance the clinical diagnosis and treatment further. For example, we are developing intelligent systems that automatically detect lesions latently captured in the medical diagnosis images and classify them based on more clear explanations associated with medical evidence and practices in specialists’ diagnoses. The mathematical and computational methods to accurately track and predict the time-varying location and shape of tumors obscurely captured in X-ray images is another research topic for achieving more accurate radiation therapy. Also, we are actively advancing research collaboration with companies in the field of medical systems and making contributions to our society by releasing our developed technologies as intellectual properties.