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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 :
Li, Jia-Kun
Tang, Tong
Zong, Hui
Wu, Er-Man
Zhao, Jing
Wu, Rong-Rong
Zheng, Xiao-Nan
Zhang, Heng
Li, Yi-Fan
Zhou, Xiang-Hong
Zhang, Chi-Chen
Zhang, Zi-Long
Zhang, Yi-Hang
Feng, Wei-Zhe
Zhou, Yi
Wang, Jiao
Zhu, Qi-Yu
Deng, Qi
Zheng, Jia-Ming
Yang, Lu
Source :
Military Medical Research; 8/21/2024, Vol. 11 Issue 1, p1-9, 9p
Publication Year :
2024

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20957467
Volume :
11
Issue :
1
Database :
Complementary Index
Journal :
Military Medical Research
Publication Type :
Academic Journal
Accession number :
179144741
Full Text :
https://doi.org/10.1186/s40779-024-00566-z