Name
Title | ||
|---|---|---|
Disparities in Regional Publication Trends on the Topic of Artificial Intelligence in Biomedical Science Over the Last Five Years: A Bibliometric Analysis. |
Abstract | ||
|---|---|---|
Bibliometric analysis is a scientific method that allows researchers to explore the current trend in a certain research area using citation information. This study aims to provide a meta-view of artificial intelligence studies focused on biomedicine in the last five years, which will provide an insight into current trends and future research directions. Besides the observation of increased publication rates in the area of AI in biomedicine, the results indicate a lower contribution from and a sparser network connectivity of countries with limited resources. Thus, working toward collaboration in terms of infrastructure and implementing alternative solutions such as FAIR (Findable, Accessible, Interoperable and Reproducible) and open access platforms could improve the collaborative nature of international health projects. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.3233/SHTI220541 | Medical Informatics Europe (MIE) |
Keywords | DocType | Volume |
Artificial Intelligence,Bibliometric Analysis,Biomedicine,Medicine | Conference | 294 |
ISSN | Citations | PageRank |
1879-8365 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kirubel Biruk Shiferaw | 1 | 0 | 0.34 |
| Dagmar Waltemath | 2 | 2 | 3.40 |
| Atinkut Zeleke | 3 | 0 | 0.34 |