July 31, 2018
Keio University School of Medicine
Fujitsu Limited
A research group from the Keio University School of Medicine, including Associate Professor Fan Hong of The Sakaguchi Laboratory (Systems Medicine) and Assistant Professor Masahiro Hashimoto of the Department of Radiology (Diagnostic), together with Fujitsu Limited (hereafter Fujitsu), has developed an AI technology for clinical decision support. This development is one of the outcomes of a joint research project that began in January 2018 at the Keio University Medical AI Center, focusing on three themes for the application of AI to clinical data.
In this joint research, the parties are applying Fujitsu's AI technology, "FUJITSU Human Centric AI Zinrai," to various clinical data from Keio University Hospital, including medical records, laboratory tests, imaging examinations, and radiology reports, to conduct research aimed at realizing better medical care.
They have now developed a new trained model by applying AI technology, capable of natural language processing and machine learning, to radiology reports interpreted by radiologists to classify the necessity of actions such as hospitalization. The application of this research, which provides advice on matters such as hospitalization, surgery, and referrals to other departments, is expected to enable clinical decision support where the AI analyzes the urgency from the content of radiology reports and notifies the attending physician of test results that require priority treatment. This will help establish a medical system capable of more appropriate and rapid responses than ever before.
In their joint research, which will continue until 2020, Keio University School of Medicine and Fujitsu will work to further improve the accuracy of these results. They will also advance research on systems that can, for example, propose optimal medication methods to avoid drug side effects by analyzing clinical data over time.
Please see below for the full press release.