Prominent issues surrounding artificial intelligence utilization in geriatric healthcare: a co-word cluster analysis / 中华健康管理学杂志

ABSTRACT

Objective@#To analyze key issues and developing trends surrounding the use of artificial intelligence in geriatric healthcare.@*Methods@#Both bibliometric and cluster analyses were used to analyze literature from PubMed, published from 2009 to 2018, using Bicomb 2.0 and gCLUTO software.@*Results@#A total of 310 articles, published from 21 countries, were included— with most of them originating from developed nations. For the period of 2009 to 2013, 19 high-frequency subject words were obtained, with two research hotspots being clustered, including “intelligent health monitoring” and “robot assisted surgery.” For the period of 2014 to 2018, 31 high-frequency subject words were obtained, with the research focusing mainly on four fields robot assisted surgery, application of robots in geriatric healthcare, intelligent health monitoring, and machine learning for disease risk predictions.@*Conclusions@#Both the development and application of intelligent health monitoring systems and robot assisted surgeries have been a key focus of scholars in this field. In the past five years, the application of robots in geriatric healthcare, as well as machines learning disease risk predictions, have become new and prominent research hotspots. Chinese scholars should therefore pay close attention to the frontiers of this field and apply them within domestic practice, so as to better promote the increased application and development of artificial intelligence in geriatric healthcare in China.