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 News
-
Why does ALS pathology spread differently among patients?
Research results
-
How Light Exposure Creates the Light Purple Hue of Toad Lily Tepals: Mechanism Behind the Background Collar Formation of Tepals Revealed
Research results
-
Earliest octopuses were giant top predators in Cretaceous oceans
Research results
-
Prospective study on clinical utility of plasma p-Tau217 and other biomarkers in Japanese memory clinics using the LUMIPULSE platform
Research results