Utilization of artificial intelligence (AI) to make professional decisions in life-threatening situations - Support for non-specialists in medical examinations
February 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.
Key results of the research
- This is the first study to demonstrate that AI can make more professional decisions than non-specialists in specific life-threatening situations.
Publication Details
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
More 篮球比分直播
-
Prospective study on clinical utility of plasma p-Tau217 and other biomarkers in Japanese memory clinics using the LUMIPULSE platform
Research results
-
Hidden Acid Imbalance in Kidney Disease Raises Red Flags
Research results
-
Evaluation of plasma p-tau217 biomarkers in detecting amyloid pathology and predicting cognitive outcomes: Observations from Japanese Alzheimer's disease neuroimaging initiative cohort
Research results
-
From surface to depth: 3D imaging traces vascular amyloid spread in the human brain
Research results