Knowledge Domain and Emerging Trends in Internet-based diagnosis and treatment services：A Scientometric Review Based on CiteSpace V Analysis

Abstract

Background In the fight against the COVID-19 epidemic, internet-based diagnosis and treatment services are a promising technology that can be used effectively in health care. Objective The goal of this study was to examine the research state and show the hotspots and frontiers of Internet-based diagnosis and therapy using CiteSpace V. Methods From 2001 to 2020, we searched the Web of Science Core Collection (WoSCC) for papers on Internet-based diagnosis and therapy. CiteSpace V was used to produce network maps of author, country, and institution collaborations, revealing hotspots and frontiers of Internet-based diagnosis and treatment. Results The Web of Science Core Collection (WoSCC) yielded a total of 1067 studies linked to Internet-based diagnosis and therapy. The most prolific author was Gerhard Andersson (16 articles). The United States and Karolinska Institutet were the leading nations and institutions in this discipline, with 590 and 57 publications, respectively. There was active collaboration among the writers, nations, and institutions. Hot subjects included artificial intelligence, health-related quality, and breast cancer. Conclusions Based on the findings of CiteSpace V, the present study encourages active collaboration among authors, nations, and institutions. Major continuing research themes include cancer diagnosis and treatment based on artificial intelligence or Internet emphasis, as well as the interplay between Internet-based diagnostic and treatment services and health-related quality.