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ABSTRACT: Objective
In recent years, among the available tools, the concurrent application of Artificial Intelligence (AI) has improved the diagnostic performance of breast cancer screening. In this context, the present study intends to provide a comprehensive overview of the evolution of AI for breast cancer diagnosis and prognosis research using bibliometric analysis. Methodology
Therefore, in the present study, relevant peer-reviewed research articles published from 2000 to 2021 were downloaded from the Scopus and Web of Science (WOS) databases and later quantitatively analyzed and visualized using Bibliometrix (R package). Finally, open challenges areas were identified for future research work. Results
The present study revealed that the number of literature studies pu
SUBMITTER: Syed A
PROVIDER: S-EPMC9578338 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature