The application of artificial intelligence to Alzheimer45s disease: A new research hotspots and associated challenges

Abstract

There has been a wealth of international research on the application of AI in the medical field in the last 20 years, and with the continuous development of AI, Alzheimer's disease has become one of the popular application areas of AI. In this paper, we searched and analyzed the literature on the application of artificial intelligence in Alzheimer's disease in PubMed by CiteSpace6.2. R3 and VOSviewer1.6.19 software. We found that the number of publications in this field generally fluctuates on an upward trend, and now there are author groups and institutions that have formed the initial shape of the cooperation network, and the inter-institutional cooperation is relatively close, but communication and cooperation are relatively lacking. The results of keyword co-occurrence show that "machine learning", "deep learning", and "learning" are the most common keywords in this field. The keyword co-occurrence results show that "machine learning", "deep learning" and "magnetic resonance imaging (MRI)" are the hotspots of current research. This shows that AI is of great significance for early diagnosis, data collection, and assisted diagnosis of Alzheimer's disease, and we should strengthen the cooperation and communication between research teams from different regions to explore the further application of AI in Alzheimer's disease.

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