Automatic Update System for Evaluation of a Condition of Rheumatoid Arthritis Using Deep Learning
- Resource Type
- Conference
- Authors
- Kuwabara, Yunosuke; Makino, Koji; Isida, Kazuyoshi; Sun, Xiao; Terada, Hidetsugu
- Source
- 2024 IEEE/SICE International Symposium on System Integration (SII) System Integration (SII), 2024 IEEE/SICE International Symposium on. :699-704 Jan, 2024
- Subject
- Communication, Networking and Broadcast Technologies
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Training
System integration
Arthritis
Servers
Medical diagnosis
Artificial intelligence
Medical diagnostic imaging
- Language
- ISSN
- 2474-2325
Artificial Intelligence (AI) is used for various fields including the medical field. A lot of data are necessary to improve the accuracy. However, it is difficult to gather the medical data. This paper describes the AI system that improves the accuracy with every usage automatically by the online improved techniques applied to the diagnosis of rheumatoid arthritis (RA). And its effectiveness is predicted. The result of the running using two PCs and one server and the realization of the system are shown. As a result, we confirmed that the serve-client system that is to update the model automatically using uploaded data set made by each client is constructed.