Clinical and pathological diagnosis using AI and data-driven science

Abstract

The application of artificial intelligence （AI） technology in healthcare is spreading rapidly thanks to the construction of a medical “big data” database as well as the development of graphics processing units （GPUs） that can process data at high speed. A further major reason is the development of deep learning technology. This review introduces practical applications of AI in clinical and pathological diagnosis and the concept of data-driven science. For the future of oral cancer treatment, it is important to train the next generation of medical professionals who can make full use of AI technology.