Feb 24 2021
The research team of Specially Appointed Associate Professor Kazuya Fujihara and Professor Hirohito Sone of the Department of Hematology, Endocrinology and Metabolism, Niigata University Graduate School of Medical and Dental Sciences, developed an artificial intelligence (AI) system that can make more professional decisions than general physicians (non-specialists) in specific life-threatening medical situations through machine-learning of large-scale data on the treatments previously performed by specialists.
The results of the research were published in the international journal JMIR Medical Informatics on January 27, 2021.
- This is the first study to demonstrate that AI can make more professional decisions than non-specialists in specific life-threatening situations.
Title: Machine Learning Approach to Decision Making for Insulin Initiation in Japanese Patients With Type 2 Diabetes (JDDM 58): Model Development and Validation Study
Journal: JMIR Medical Informatics
Authors: Kazuya Fujihara, Yasuhiro Matsubayashi, Mayuko Yamada-Harada, Masahiko Yamamoto, Toshihiro Iizuka, Kosuke Miyamura, Yoshinori Hasegawa, Hiroshi Maegawa, Satoru Kodama, Tatsuya Yanazaki, Hirohito Sone
DOI: 10.2196/22148
Polygenic effects on the risk of Alzheimer's disease in the Japanese population
Trends in the incidence of renal replacement therapy due to rapidly progressive glomerulonephritis in Japan, 2006–2021
Uncovering The Cyclization Mechanism of Cyclic β-1,2-Glucan Synthase