Research Progress on the Application of Artificial Intelligence in Rehabilitation Medicine in China.
10.3881/j.issn.1000-503X.13926
- Author:
Ke-Yu CHEN
1
;
Shu-Yu LIU
2
;
Xiang JI
1
;
Hua ZHANG
1
;
Ting LI
1
Author Information
1. Engineering Center for Medical Intelligence,Institute of Biomedical Engineering, CAMS and PUMC,Tianjin 300192,China.
2. Department of Rehabilitation,Tianjin Medical University,Tianjin 300050,China.
- Publication Type:Journal Article
- Keywords:
Citespace;
intelligence;
literature statistical analysis;
rehabilitation;
research hot spots
- MeSH:
Artificial Intelligence;
China;
Humans;
Robotics
- From:
Acta Academiae Medicinae Sinicae
2021;43(5):773-784
- CountryChina
- Language:Chinese
-
Abstract:
The development of science and technology and the increasing demand of rehabilitation have driven the integration between artificial intelligence and rehabilitation medicine.In this study,statistical methods,document visualization tools,and other analysis methods were used in the Citespace software to analyze China's research status of artificial intelligence in the field of rehabilitation medicine with the key words of co-occurrence,emergence,and clustering.The relevant research hot spots were then classified and expounded.The results demonstrated that the current hot spots of artificial intelligence related to rehabilitation medicine included robots,brain-computer interfaces,human-computer interaction,and motor imagery.According to the clustering of key words and literature analysis,the five themes of artificial intelligence in rehabilitation medicine were determined as robot,brain-computer interface,intelligent rehabilitation training system,human-computer interaction,and assisted diagnosis and remote rehabilitation.Robotics and human-computer interaction would still be the research hot spots in the long future,and brain-computer interfaces,motor imagery,and remote rehabilitation would be new ones.This study analyzed the current hot spots,predicted the development trends,discussed the limitations,and proposed suggestions,aiming to provide reference for other scholars focusing on the application of artificial intelligence in rehabilitation medicine.
