Automatic Update System for Evaluation of a Condition of Rheumatoid Arthritis Using Deep Learning.

Yunosuke Kuwabara,Koji Makino, Kazuyoshi Isida,Xiao Sun,Hidetsugu Terada

2024 IEEE/SICE International Symposium on System Integration (SII)(2024)

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摘要
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.
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关键词
Automatic System,Medical Field,Realistic Systems,Artificial Intelligence Systems,Physicians,Model Performance,Detection System,Training Data,Systemic Effects,Detection Results,Annotation Data,Image Files,Joint Position,Single User,Time Dataset,Inertial Navigation,Finger Joints,Amount Of Dataset,Windows PC,Windows OS
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