Artificial Intelligence in Rheumatology

INTRODUCTION: In the field of Rheumatology, spectacular advances have been observed in digital health technologies, including electronic health records, virtual visits, mobile health, wearable technology, digital treatments, artificial intelligence, and machine learning.


METHODS: Here, we conducted bibliometric analysis in the field of 'Artificial Intelligence in Rheumatology'. The entire bibliometric study was carried out on 16.01.2023. The Web of Science (WoS) database was scanned from the beginning, of 1975 to the present, 2023.
The data was accessed by typing the keyword 'Artificial Intelligence' in the first line of the research row (406.807 documents) and adding the keyword 'Rheumatology' in the second line (146 documents). A total of 146 publications were analyzed. The data were analyzed as publication year, document types, authors, web of science category, affiliation, publication titles, countries/areas, publishers, and finally citation report (number of total citations, number of cited articles, and h index).

RESULTS: In this field, 40 (27.3%) articles were in 2022, 29 (19.8%) in 2021, 30 (20.5) articles in 2020 and 17 (11.6%) articles in 2019. Documents types were; article (N=65/ 44.5%), meeting abstract (N=35/23.9%), review article (N=34/23.2%) etc…

According to the Web of science category, 73.2% were in Rheumatology, 6.8% were in Medicine General Internal, 5.4% were in Computer Science Artificial Intelligence, etc.... When we look at the total number of articles from countries, USA (N=35), England (N=28), and Germany (N=19) take the first place. Among 146 publications, the number of citing articles was 1.067 (without self-citations 1.037), times cited 1.184 (without self-citations 1.124) with h index=16.

DISCUSSION AND CONCLUSION: Bibliometric analysis of Artificial Intelligence in the field of Rheumatology will be useful as it creates awareness and provides an objective perspective to the research field.