Global research trends and foci of artificial intelligence-based tumor pathology: a scientometric study.

ABSTRACT:

Background

With the development of digital pathology and the renewal of deep learning algorithm, artificial intelligence (AI) is widely applied in tumor pathology. Previous researches have demonstrated that AI-based tumor pathology may help to solve the challenges faced by traditional pathology. This technology has attracted the attention of scholars in many fields and a large amount of articles have been published. This study mainly summarizes the knowledge structure of AI-based tumor pathology through bibliometric analysis, and discusses the potential research trends and foci.

Methods

Publications related to AI-based tumor pathology from 1999 to 2021 were selected from Web of Science Core Collection. VOSviewer and Citespace were mainly used to perform and visualize co-auth

SUBMITTER: Shen Z 

PROVIDER: S-EPMC9450455 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature