Abstract
BackgroundWith 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.ObjectiveThis 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.MethodsThe 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.ResultsA 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”.ConclusionsArtificial 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.
Highlights
Artificial intelligence (AI) is a subject that mainly studies the application of computers to simulate human intelligent behavior, involving computing, mathematics, biology, and many other subjects [1]
Higher diagnostic accuracy and precise treatment are of great significance to the prognosis of patients with prostate cancer (PCa)
Prostate biopsy is the gold standard for the diagnosis of PCa [8]
Summary
Artificial intelligence (AI) is a subject that mainly studies the application of computers to simulate human intelligent behavior, involving computing, mathematics, biology, and many other subjects [1]. With its powerful algorithms and learning capabilities, AI has gradually been widely used in all aspects of medical and health, including disease diagnosis, prognosis prediction, drug research, genomics data analysis and other related fields, bringing new innovations and methods to medical field, which are conducive to the development of precision medicine [5, 6]. Higher diagnostic accuracy and precise treatment are of great significance to the prognosis of patients with PCa. At present, prostate biopsy is the gold standard for the diagnosis of PCa [8]. 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
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