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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

Authors :
Jia-Kun Li
Tong Tang
Hui Zong
Er-Man Wu
Jing Zhao
Rong-Rong Wu
Xiao-Nan Zheng
Heng Zhang
Yi-Fan Li
Xiang-Hong Zhou
Chi-Chen Zhang
Zi-Long Zhang
Yi-Hang Zhang
Wei-Zhe Feng
Yi Zhou
Jiao Wang
Qi-Yu Zhu
Qi Deng
Jia-Ming Zheng
Lu Yang
Qiang Wei
Bai-Rong Shen
Source :
Military Medical Research, Vol 11, Iss 1, Pp 1-9 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract 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.

Details

Language :
English
ISSN :
20549369
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Military Medical Research
Publication Type :
Academic Journal
Accession number :
edsdoj.958a80147d954ccfabfc04fc8db3571d
Document Type :
article
Full Text :
https://doi.org/10.1186/s40779-024-00566-z