The research interests of the Kenji Suzuki Laboratory at the University of Chicago lie in interdisciplinary research in medicine and computer science, with its primary focus on research on computer-aided diagnosis of lesions in the abdomen, thorax, and heart and the development of techniques of machine learning, image processing, and pattern recognition.  The long-term goal of the laboratory’s research is to develop a computer system that diagnoses diseases in medical images as an expert radiologist does to assist non-expert doctors in making diagnoses.  To approach this goal, we believe that the development of sophisticated techniques, their theoretical backups, and an understanding of radiologists’ decision-making process and of the human visual system are essential.  We are making efforts to “weave” the clinical science and the technological science into a new paradigm to contribute to both medicine and computer science.