结直肠肛门外科2026，Vol.32Issue(1)：37-43,7.DOI:10.19668/j.cnki.issn1674-0491.2026.01.006
人工智能在结直肠癌影像诊疗中的研究进展与展望
Artificial intelligence in imaging-based diagnosis and treatment of colorectal cancer:ad-vances and future directions
陈浩权 1王屹1
作者信息
- 1. 北京大学人民医院放射科 北京 100044
- 折叠
摘要
Abstract
Precision diagnosis and treatment of colorectal cancer rely heavily on accurate medical imaging assessment.With the rapid advancement of artificial intelligence(AI),particularly radiomics and deep learning technologies,intelligent analysis tools based on CT and MRI have progressively permeated the entire clinical workflow of colorectal cancer diagno-sis and treatment.Focusing on core clinical challenges,this article systematically reviews the latest progress of AI in over-coming the limitations of traditional morphological imaging.It covers key areas such as preoperative precise staging as-sessment and molecular typing prediction,early prediction and evaluation of neoadjuvant treatment efficacy,and long-term risk assessment and clinical decision-making management.Furthermore,the article provides an in-depth analysis of current barriers hindering the clinical translation of AI models,including poor interpretability(the"black box"problem),insufficient multi-center generalizability,and the lack of data standardization.Future directions involving multimodal fu-sion and real-world research are also discussed.关键词
结直肠癌/医学影像学/人工智能/影像组学/深度学习Key words
colorectal cancer/medical imaging/artificial intelligence/radiomics/deep learning分类
医药卫生引用本文复制引用
陈浩权,王屹..人工智能在结直肠癌影像诊疗中的研究进展与展望[J].结直肠肛门外科,2026,32(1):37-43,7.
