Clinical decision support system using bigdata and artificial intelligence

Kazuhiko Ohe

Department of Biomedical Informatics, The Graduate School of Medicine, The University of Tokyo

Artificial intelligence has been rapidly developing in every field, and its use is highly expected in medicine. The core technology of AI is machine learning, especially deep learning, and researches using these technology are progressing in medical imaging diagnosis and prediction. On the other hand, bigdata is getting bigger and bigger, and it is drawing attention that it may change the future of health care in the form of two wheels with AI. In this review, the author first take up an AI research in the early 1970s, machine learning and deep learning, and then the importance of bigdata as well as the challenges of these technologies in health care.

Address correspondence to Dr. Kazuhiko Ohe, Department of Biomedical Informatics, The Graduate School of Medicine, The University of Tokyo （7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8655, Japan）