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人工智能在前列腺癌方面的全球研究：一项为期22年的文献计量分析。

The Global Research of Artificial Intelligence on Prostate Cancer: A 22-Year Bibliometric Analysis.

作者信息

Shen Zefeng, Wu Haiyang, Chen Zeshi, Hu Jintao, Pan Jiexin, Kong Jianqiu, Lin Tianxin

机构信息

Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.

Graduate School, Tianjin Medical University, Tianjin, China.

出版信息

Front Oncol. 2022 Mar 1;12:843735. doi: 10.3389/fonc.2022.843735. eCollection 2022.

DOI:10.3389/fonc.2022.843735
PMID:35299747
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8921533/
Abstract

BACKGROUND: With the rapid development of technology, artificial intelligence (AI) has been widely used in the diagnosis and prognosis prediction of a variety of diseases, including prostate cancer. Facts have proved that AI has broad prospects in the accurate diagnosis and treatment of prostate cancer. OBJECTIVE: This study mainly summarizes the research on the application of artificial intelligence in the field of prostate cancer through bibliometric analysis and explores possible future research hotspots. METHODS: The articles and reviews regarding application of AI in prostate cancer between 1999 and 2020 were selected from Web of Science Core Collection on August 23, 2021. Microsoft Excel 2019 and GraphPad Prism 8 were applied to analyze the targeted variables. VOSviewer (version 1.6.16), Citespace (version 5.8.R2), and a widely used online bibliometric platform were used to conduct co-authorship, co-citation, and co-occurrence analysis of countries, institutions, authors, references, and keywords in this field. RESULTS: A total of 2,749 articles were selected in this study. AI-related research on prostate cancer increased exponentially in recent years, of which the USA was the most productive country with 1,342 publications, and had close cooperation with many countries. The most productive institution and researcher were the Henry Ford Health System and Tewari. However, the cooperation among most institutions or researchers was not close even if the high research outputs. The result of keyword analysis could divide all studies into three clusters: "Diagnosis and Prediction AI-related study", "Non-surgery AI-related study", and "Surgery AI-related study". Meanwhile, the current research hotspots were "deep learning" and "multiparametric MRI". CONCLUSIONS: Artificial intelligence has broad application prospects in prostate cancer, and a growing number of scholars are devoted to AI-related research on prostate cancer. Meanwhile, the cooperation among various countries and institutions needs to be strengthened in the future. It can be projected that noninvasive diagnosis and accurate minimally invasive treatment through deep learning technology will still be the research focus in the next few years.

摘要

背景：随着技术的快速发展，人工智能（AI）已广泛应用于包括前列腺癌在内的多种疾病的诊断和预后预测。事实证明，人工智能在前列腺癌的精准诊断和治疗方面具有广阔前景。 目的：本研究主要通过文献计量分析总结人工智能在前列腺癌领域的应用研究，并探索未来可能的研究热点。 方法：于2021年8月23日从Web of Science核心合集中选取1999年至2020年间关于人工智能在前列腺癌中应用的文章和综述。应用Microsoft Excel 2019和GraphPad Prism 8分析目标变量。使用VOSviewer（1.6.16版）、Citespace（5.8.R2版）以及一个广泛使用的在线文献计量平台，对该领域的国家、机构、作者、参考文献和关键词进行合作作者、共被引和共现分析。 结果：本研究共选取2749篇文章。近年来，前列腺癌的人工智能相关研究呈指数增长，其中美国是产出最多的国家，有1342篇出版物，并与许多国家密切合作。产出最多的机构和研究人员分别是亨利·福特健康系统和蒂瓦里。然而，即使研究产出高，大多数机构或研究人员之间的合作并不紧密。关键词分析结果可将所有研究分为三个聚类：“诊断与预测人工智能相关研究”、“非手术人工智能相关研究”和“手术人工智能相关研究”。同时，当前的研究热点是“深度学习”和“多参数磁共振成像”。 结论：人工智能在前列腺癌中具有广阔的应用前景，越来越多的学者致力于前列腺癌的人工智能相关研究。同时，未来各国和各机构之间的合作需要加强。可以预计，通过深度学习技术进行无创诊断和精准微创治疗仍将是未来几年的研究重点。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6332/8921533/76f5ba3c0398/fonc-12-843735-g009.jpg

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[2]
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J Natl Cancer Inst. 2022-2-7

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