[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-125214-en":3,"doc-seo-125214-105":30,"detail-sidebar-cat-0-en-105":83},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},125214,1099514067415,"Rowan","https://ap-avatar.wpscdn.com/avatar/100002539d78ffe74a7?x-image-process=image/resize,m_fixed,w_180,h_180&k=1779092875211072502",8,"Research & Report","Current status and trends of machine learning applied in clinical research of gastric cancer from 2004 to 2023 - global bibliometric and visual analysis","Gastric cancer remains a high-mortality malignancy, and early diagnosis and treatment are key research priorities. This systematic review performs a bibliometric and visual analysis to map research trends and hotspots in machine learning applied to gastric cancer clinical studies from 2004 to 2023. Using Web of Science retrieval and bibliometric tools (Excel, VOSviewer, CiteSpace), the study evaluates influential publications, authors, institutions, countries, and co-citation patterns, summarizing a shift toward clinical applications.","TYPE Systematic Review PUBLISHED 06 May 2025  \nDOI 10.3389/fonc.2025.1420517  \nOPEN ACCESS  \nEDITED BY  \nMehdi Pirooznia,  \nJohnson & Johnson, United States  \nREVIEWED BY  \nKailin Jiang,  \nShanghai University of Traditional Chinese Medicine, China  \nMichela Giulii Capponi,  \nSanto Spirito in Sassia Hospital, Italy  \n*CORRESPONDENCE  \nFan Wang  \n[wangfan1965@126.com](wangfan1965@126.com)[ ](wangfan1965@126.com)Bangjie Chen  \n [chenbangjieahmu@163.com](chenbangjieahmu@163.com)  \n†These authors have contributed equally to this work and share first authorship  \nRECEIVED 20 April 2024  \nACCEPTED 10 January 2025  \nPUBLISHED 06 May 2025  \nCITATION  \nWang X, Wu C, Yue S, Zhou M, Zhuo E, Wu X, Wang Y, Chen B and Wang F (2025) Current status and trends of machine learning applied in clinical research of gastric cancer from 2004 to 2023: global bibliometric and visual analysis.  \nFront. Oncol. 15:1420517 .  \ndoi: 10.3389/fonc.2025.1420517  \nCOPYRIGHT  \n© 2025 Wang, Wu, Yue, Zhou, Zhuo, Wu, Wang, Chen and Wang. This is an open-access article distributed under the terms of the  \nCreative Commons Attribution License (CC BY) .  \nThe use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.  \nCurrent status and trends of machine learning applied in clinical research of gastric cancer from 2004 to 2023:  \nglobal bibliometric and visual analysis  \nXinyi Wang 1†, Chao Wu 2†, Siqing Yue 3,4†, Mengyuan Zhou 1, Enba Zhuo 5, Xin Wu 1, Yafen Wang 1,6, Bangjie Chen 2* and Fan Wang 1*  \n1 Department of Radiation Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China, 2 Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China, 3 Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Institute of Innovative Drugs, School of Pharmacy, Anhui Medical University, Hefei,  \nAnhui, China, 4 Institute for Liver Diseases of Anhui Medical University, Hefei, Anhui, China,  \n5 Department of Anesthesiology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China, 6 First Clinical Medical College, Anhui Medical University, Hefei, Anhui, China  \nBackground: Gastric cancer is a serious disease that threatens human life; early diagnosis and treatment have been the focus of many studies. With advancements in imaging evaluation and machine learning, early detection and treatment of gastric cancer have become feasible. This study aimed to explore research trends and hotspots in the field of gastric cancer and machine learning through biblio metric analysis and to provide new insights for related clinical applications.  \nMethods: Literature on gastric cancer and machine learning published from 2004 to 2023 was retrieved from the Web of Science database. Microsoft Excel 2019 was used for statistical analysis of influential articles, journals, authors, organizations, countries (regions), and co-citation references in this research domain. VOSviewer (version 1 .6. 16) and CiteSpace (version 5 .8. R3) were utilized to visualize the corresponding data.  \nResults: We analyzed and evaluated 425 articles authored by 2,899 researchers from 825 organizations across 52 countries (regions) . The People ’s Republic of China, the Chinese Academy of Sciences, and the University of the Chinese Academy of Sciences were identified as leaders in this field. The article “Genomewide cell-free DNA fragmentation in patients with cancer,” published in Nature, was the most frequently cited work. The diagnosis and treatment of gastric cancer have consistently been research hotspots, with a shift in focus from laboratory-based studies to clinical applications. This trend highlights the transition from etiology-orient","cbCaip171b6cVr2Y","https://ap.wps.com/l/cbCaip171b6cVr2Y","pdf",11739445,1,15,"English","en",105,"# Background\n# Methods\n## Data source and time window\n## Bibliometric and visualization tools\n# Results\n## Publication and collaboration overview\n## Influential works and thematic hotspots\n# Conclusions\n# Keywords","[{\"question\":\"How were results visualized and analyzed?\",\"answer\":\"Microsoft Excel 2019 was used for statistical analysis of influential items, and VOSviewer and CiteSpace were used to visualize co-citation and related bibliometric data.\"}]","Current status and trends of machine learning applied in clinical research of gastric cancer from 2004 to 2023 - global bibliometric and visual analysis | PDF",1785897499,38,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":78,"head_meta":80,"extra_data":82,"updated_unix":28},"current-status-and-trends-of-machine-learning-applied-in-clinical-research-of-gastric-cancer-from-2004-to-2023-global-bibliometric-and-visual-analysis","",{"@graph":36,"@context":77},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/current-status-and-trends-of-machine-learning-applied-in-clinical-research-of-gastric-cancer-from-2004-to-2023-global-bibliometric-and-visual-analysis/125214/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-05",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71],{"name":72,"@type":73,"acceptedAnswer":74},"How were results visualized and analyzed?","Question",{"text":75,"@type":76},"Microsoft Excel 2019 was used for statistical analysis of influential items, and VOSviewer and CiteSpace were used to visualize co-citation and related bibliometric data.","Answer","https://schema.org",{"og:url":52,"og:type":79,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":81,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":84},[85,89,93,97,102,107,112,115,120,123,127],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":86,"show_sort_weight":87,"slug":88},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":90,"show_sort_weight":91,"slug":92},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Exam",70,"exam",{"id":98,"doc_module":4,"doc_module_name":46,"category_name":99,"show_sort_weight":100,"slug":101},5,"Comic",60,"comic",{"id":103,"doc_module":4,"doc_module_name":46,"category_name":104,"show_sort_weight":105,"slug":106},6,"Technology",50,"technology",{"id":108,"doc_module":4,"doc_module_name":46,"category_name":109,"show_sort_weight":110,"slug":111},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":113,"slug":114},30,"research-report",{"id":116,"doc_module":4,"doc_module_name":46,"category_name":117,"show_sort_weight":118,"slug":119},9,"Religion & Spirituality",20,"religion-spirituality",{"id":118,"doc_module":4,"doc_module_name":46,"category_name":121,"show_sort_weight":118,"slug":122},"World Cup","world-cup",{"id":124,"doc_module":4,"doc_module_name":46,"category_name":125,"show_sort_weight":124,"slug":126},10,"Lifestyle","lifestyle",{"id":128,"doc_module":4,"doc_module_name":46,"category_name":129,"show_sort_weight":98,"slug":130},19,"General","general"]