Analysis of key technologies and intelligent development trends for tumor surgery navigation platforms

Shu; Ling; Wu; Le; Xia; Li

doi:10.1016/j.intonc.2026.100055

您当前的位置：

首页 >

文章列表页 >

Analysis of key technologies and intelligent development trends for tumor surgery navigation platforms

更新时间：2026-06-03

- Analysis of key technologies and intelligent development trends for tumor surgery navigation platforms
- Intelligent Oncology Vol. 2, Issue 2, Pages: 100055(2026)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.1016/j.intonc.2026.100055
  CLC：
- Received：30 January 2026，
  
  Online First：30 April 2026，
  
  Published：02 April 2026
- 稿件说明：
移动端阅览
Shu, Ling, Wu, et al. Analysis of key technologies and intelligent development trends for tumor surgery navigation platforms[J]. Intelligent Oncology, 2026, 2(2): 100055.
DOI：

Shu, Ling, Wu, et al. Analysis of key technologies and intelligent development trends for tumor surgery navigation platforms[J]. Intelligent Oncology, 2026, 2(2): 100055. DOI： 10.1016/j.intonc.2026.100055.

摘要

With the rapid development of artificial intelligence (AI) and multimodal imaging technology

intelligent surgical navigation systems have become a research hotspot in the field of precision tumor treatment. Due to clinical characteristics of tumor surgery—such as blurred lesion boundaries

complex anatomical structures

and high requirements for functional preservation—there are higher demands for precision

real-time performance

and adaptability of surgical navigation. This article analyzes the current development status of tumor surgery navigation platforms both in China and internationally

outlines the core components of intelligent surgical navigation systems

delves into the key technical issues in the application of existing surgery navigation systems in tumor treatment and the driving role of AI technology

discusses the urgent problems to be solved in tumor surgical navigation systems

and provides an outlook on the technological development trends of intelligent tumor surgery navigation systems.

Abstract

With the rapid development of artificial intelligence (AI) and multimodal imaging technology

intelligent surgical navigation systems have become a research hotspot in the field of precision tumor treatment. Due to clinical characteristics of tumor surgery—such as blurred lesion boundaries

complex anatomical structures

and high requirements for functional preservation—there are higher demands for precision

real-time performance

and adaptability of surgical navigation. This article analyzes the current development status of tumor surgery navigation platforms both in China and internationally

outlines the core components of intelligent surgical navigation systems

delves into the key technical issues in the application of existing surgery navigation systems in tumor treatment and the driving role of AI technology

discusses the urgent problems to be solved in tumor surgical navigation systems

and provides an outlook on the technological development trends of intelligent tumor surgery navigation systems.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Artificial intelligence in tumor drug resistance: Mechanisms and treatment prospects

Advancing precision oncology through hNQO1-activatable NIR-II probes: Integrating molecular imaging with artificial intelligence

Integrating multi-omic liquid biopsies and artificial intelligence: The next frontier in early cancer detection

Multimodal medical imaging AI for breast cancer diagnosis: A comprehensive review

Performance evaluation of artificial intelligence–assisted diagnostic tools for human papillomavirus–related cervical and anal cancers and their precancerous lesions: A systematic review and meta-analysis

Related Author

Jianyou Gu

Junfeng Zhang

Zhe-Sheng Chen

Huaizhi Wang

Shixiang Guo

Qiang Zhou

Xianxing Wang

Renpei Xia

Related Institution

Department of Pharmaceutical Sciences, College of Pharmacy and Health Sciences, St. John’s University, Queens NY

Department of Nephrology, The Second Affiliated Hospital of Guangzhou Medical University

Department of Hepatobiliary Surgery I, Zhujiang Hospital, Southern Medical University

University of Chinese Academy of Sciences (UCAS) Chongqing School, Chongqing Medical University

Institute of Hepatopancreatobiliary Surgery, Chongqing General Hospital, School of Medicine, Chongqing University

⁰