Abstract
Previously, we developed an integrated system of clinical diagnosis and treatment using “Computational Anatomy” models. This system is based on mathematical statistics using large amounts of CT image data. However, in clinical practice, diagnosis and treatment are carried out using a variety of medical images, such as CT, MRI, and pathological image. Therefore, it is necessary to develop a new model that integrates various medical images. Now, we develop “Multidisciplinary Computational Anatomy” models that combine time, space, functional, and pathology axes (see figure). Using this new model, we will develop highly intelligent diagnosis and therapy for difficult-to-treat diseases.
