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Intelligent medicine in focus:the 5 stages of evolution in robot-assisted surgery for prostate cancer in the past 20 years and future implications

摘要Robot-assisted surgery has evolved into a crucial treatment for prostate cancer(PCa).However,from its appearance to today,brain-computer interface,virtual reality,and metaverse have revolutionized the field of robot-assisted surgery for PCa,presenting both opportunities and challenges.Especially in the context of contemporary big data and precision medicine,facing the heterogeneity of PCa and the complexity of clinical problems,it still needs to be continuously upgraded and improved.Keeping this in mind,this article summarized the 5 stages of the historical development of robot-assisted surgery for PCa,encompassing the stages of emergence,promotion,development,maturity,and intelligence.Initially,safety concerns were paramount,but subsequent research and engineering advancements have focused on enhancing device efficacy,surgical technology,and achieving precise multi modal treatment.The dominance of da Vinci robot-assisted surgical system has seen this evolution intimately tied to its successive versions.In the future,robot-assisted surgery for PCa will move towards intelligence,promising improved patient outcomes and personalized therapy,alongside formidable challenges.To guide future development,we propose 10 significant prospects spanning clinical,research,engineering,materials,social,and economic domains,envisioning a future era of artificial intelligence in the surgical treatment of PCa.

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作者 Jia-Kun Li [1] Tong Tang [2] Hui Zong [3] Er-Man Wu [3] Jing Zhao [3] Rong-Rong Wu [3] Xiao-Nan Zheng [4] Heng Zhang [5] Yi-Fan Li [6] Xiang-Hong Zhou [6] Chi-Chen Zhang [6] Zi-Long Zhang [6] Yi-Hang Zhang [6] Wei-Zhe Feng [3] Yi Zhou [3] Jiao Wang [3] Qi-Yu Zhu [6] Qi Deng [6] Jia-Ming Zheng [6] Lu Yang [6] Qiang Wei [6] Bai-Rong Shen [3] 学术成果认领
作者单位 Department of Urology,West China Hospital,Sichuan University,Chengdu 610041,China;Institutes for Systems Genetics,Frontiers Science Center for Disease-Related Molecular Network,West China Hospital,Sichuan University,Chengdu 610041,China [1] Institutes for Systems Genetics,Frontiers Science Center for Disease-Related Molecular Network,West China Hospital,Sichuan University,Chengdu 610041,China;Department of Computer Science and Information Technologies,Elvi?a Campus,University of A Coru?a,15001 A Coru?a,Spain [2] Institutes for Systems Genetics,Frontiers Science Center for Disease-Related Molecular Network,West China Hospital,Sichuan University,Chengdu 610041,China [3] Department of Urology,West China Hospital,Sichuan University,Chengdu 610041,China;Institutes for Systems Genetics,Frontiers Science Center for Disease-Related Molecular Network,West China Hospital,Sichuan University,Chengdu 610041,China;Chinese Academy of Medical Science Oxford Institute,Nuffield Department of Medicine,University of Oxford,Oxford OX1 2JD,UK [4] Department of Radiology,National Clinical Research Center for Geriatric Diseases/the Second Medical Center of Chinese PLA General Hospital,Beijing 100853,China [5] Department of Urology,West China Hospital,Sichuan University,Chengdu 610041,China [6]
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DOI 10.1186/s40779-024-00566-z
发布时间 2025-07-30(万方平台首次上网日期,不代表论文的发表时间)
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军事医学研究(英文版)

军事医学研究(英文版)

2025年12卷6期

813-821页

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