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Journal of Translational Medicine

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Open Access 01-12-2022 | Artificial Intelligence | Research

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

Authors: Zefeng Shen, Jintao Hu, Haiyang Wu, Zeshi Chen, Weixia Wu, Junyi Lin, Zixin Xu, Jianqiu Kong, Tianxin Lin

Published in: Journal of Translational Medicine | Issue 1/2022

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-authorship, co-citation, and co-occurrence analysis of countries, institutions, authors, references and keywords in this field.

Results

A total of 2753 papers were included. The papers on AI-based tumor pathology research had been continuously increased since 1999. The United States made the largest contribution in this field, in terms of publications (1138, 41.34%), H-index (85) and total citations (35,539 times). We identified the most productive institution and author were Harvard Medical School and Madabhushi Anant, while Jemal Ahmedin was the most co-cited author. Scientific Reports was the most prominent journal and after analysis, Lecture Notes in Computer Science was the journal with highest total link strength. According to the result of references and keywords analysis, “breast cancer histopathology” “convolutional neural network” and “histopathological image” were identified as the major future research foci.

Conclusions

AI-based tumor pathology is in the stage of vigorous development and has a bright prospect. International transboundary cooperation among countries and institutions should be strengthened in the future. It is foreseeable that more research foci will be lied in the interpretability of deep learning-based model and the development of multi-modal fusion model.

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Title: Global research trends and foci of artificial intelligence-based tumor pathology: a scientometric study
Authors: Zefeng Shen
Jintao Hu
Haiyang Wu
Zeshi Chen
Weixia Wu
Junyi Lin
Zixin Xu
Jianqiu Kong
Tianxin Lin
Publication date: 01-12-2022
Publisher: BioMed Central
Keywords: Artificial Intelligence
Pathology
Published in: Journal of Translational Medicine / Issue 1/2022
Electronic ISSN: 1479-5876
DOI: https://doi.org/10.1186/s12967-022-03615-0

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