Attempt to create additional pathological diagnostic Information using digital pathology images and machine learning techniques

The development of image recognition systems using machine learning technology and artificial intelligence (deep learning technology) has led to the development of pathology aids.
On the other hand, the application of these technologies can also bring about a revolution in pathological diagnostic information.

Traditionally, pathological diagnosis has been made only by noting the name of the diagnosis and items related to the stage.
However, with the use of machine learning technology and artificial intelligence, it may be possible to describe additional diagnostic information.

1. Koike Y, Aokage K, Ikeda K, Nakai T, Tane K, Miyoshi T, Sugano M, Kojima M, Fujii S, Kuwata T, Ochiai A, Tanaka T, Suzuki K, Tsuboi M, Ishii G. Machine learning-based histological classification that predicts recurrence of peripheral lung squamous cell carcinoma. Lung Cancer, in press.