Artificial intelligence-based assessment of surgical skills in laparoscopic right hemicolectomy for colon cancer

Pengyu WEI; Jiale GAO; Maotong JI; Yuanyuan TAN; Hongwei YAO

doi:10.19401/j.cnki.1007-3639.2025.07.002

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Artificial intelligence-based assessment of surgical skills in laparoscopic right hemicolectomy for colon cancer

Specialist's Review | 更新时间：2025-12-31

- Artificial intelligence-based assessment of surgical skills in laparoscopic right hemicolectomy for colon cancer
- China Oncology Vol. 35, Issue 7, Pages: 637-641(2025)
- 作者机构：
  
  1. 首都医科大学附属北京友谊医院普通外科，国家消化系统疾病临床医学研究中心，消化健康全国重点实验室，首都医科大学结直肠肿瘤临床诊疗与研究中心，首都医科大学结直肠癌免疫治疗基础-临床联合实验室，北京 100050
  2. 首都医科大学基础医学院，北京 100069
- 作者简介：
- 基金信息：
  
  Noncommunicable Chronic Diseases-National Science and Technology Major Project(2024ZD0520306);Beijing Hospitals Authority Clinical Medicine Development of special funding support(ZLRK202302)
- DOI：10.19401/j.cnki.1007-3639.2025.07.002
  CLC： R735.3+5
- Received：14 June 2025，
  
  Revised：2025-07-13，
  
  Published：30 July 2025
- 稿件说明：
移动端阅览
Pengyu WEI, Jiale GAO, Maotong JI, et al. Artificial intelligence-based assessment of surgical skills in laparoscopic right hemicolectomy for colon cancer[J]. China Oncology, 2025, 35(7): 637-641.
DOI：

Pengyu WEI, Jiale GAO, Maotong JI, et al. Artificial intelligence-based assessment of surgical skills in laparoscopic right hemicolectomy for colon cancer[J]. China Oncology, 2025, 35(7): 637-641. DOI： 10.19401/j.cnki.1007-3639.2025.07.002.

摘要

腹腔镜右半结肠癌根治术作为治疗右半结肠癌的标准术式，因其复杂的解剖层次和精细的操作技术要求，对手术医师的专业素养提出了严峻挑战。当前临床实践中，手术技能评估仍主要依赖于专家的主观评价，而这种传统模式存在评估效率低下、标准不统一等固有局限性。人工智能（artificial intelligence，AI）技术的快速发展，尤其是计算机视觉和深度学习算法的突破，为建立客观、精准的手术自动化评价体系提供了革命性的技术支撑。本文全面梳理了中国右半结肠癌根治术的临床应用现状，深入论证了构建智能化手术评价系统的临床必要性和技术可行性，并系统呈现了本中心在该领域的前沿探索成果。展望未来，基于AI的智能评价系统将有望实现手术技能评估的标准化和定量化，这不仅将革新外科医师培训体系、提升多中心临床研究质量，更将推动精准外科诊疗规范的标准化进程，对改善患者长期预后、促进医疗资源均衡化发展具有重要的临床意义和社会价值。

Abstract

Laparoscopic right hemicolectomy is the standard surgical procedure for treating right-sided colon cancer

yet its complex anatomical layers and technically demanding operations pose significant challenges to surgeons’ expertise. Currently

surgical skill assessment in clinical practice still predominantly relies on subjective expert evaluation

an approach inherently limited by low efficiency and inconsistent standards. With the rapid advancement of artificial intelligence (AI) technologies (particularly breakthroughs in computer vision and deep learning algorithms)

a revolutionary technical foundation has been established for developing objective and precise automated surgical evaluation systems. This article comprehensively reviewed the current clinical application status of right hemicolectomy in China

thoroughly examined the clinical necessity and technical feasibility of constructing an intelligent surgical assessment system

and systematically presented our center’s cutting-edge research achievements in this field. Looking ahead

AI-driven intelligent evaluation systems are expected to standardize and quantify surgical skill assessment. Such innovation will not only transform surgical training programs and enhance the quality of multicenter clinical research

but also promote the standardization of precision surgical protocols. This advancement holds significant clinical value and societal importance by improving long-term patient outcomes and fostering more equitable distribution of medical resources.

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Keywords

references

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姚宏伟 , Jurriaan Tunmann , 张忠涛 , 等 . 基于COLOR Ⅳ研究分析腹腔镜右半结肠癌根治术的标准化流程和质量控制要点 [J ] . 中国实用外科杂志 , 2023 , 43 ( 10 ): 1100 - 1103 .

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Related Institution

Department of Gastroenterology, the Fourth Hospital of Hebei Medical University

Department of Pathology, the Fourth Hospital of Hebei Medical University

Department of General Surgery, Shanghai Pudong New District Zhoupu Hospital

Department of Gastroenterology, Shanghai Pudong New District Zhoupu Hospital

Cancer Institute, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University

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