中国实用外科杂志2026，Vol.46Issue(1)：24-28,34,6.DOI:10.19538/j.cjps.issn1005-2208.2026.01.06
数智化诊疗技术在消化内镜外科中创新应用与临床实践
Innovative integration and clinical implementation of digital-intelligent technologies for diagnosis and therapy in digestive endoscopic surgery
摘要
Abstract
Digestive endoscopic surgery is undergoing a transformative leap driven by"digital intelligence",where the deep integration of artificial intelligence(AI),robotics,cloud-based big data,and large language models(LLMs)is reshaping the paradigm of minimally invasive diagnosis and treatment.In diagnostics,the deployment of computer-aided detection(CADe)and computer-aided diagnosis(CADx)has significantly improved lesion detection rates and the consistency of optical characterization,establishing a closed loop for real-time quality control.In therapeutics,flexible endoscopic robots-leveraging multi-channel collaborative control,wristed instrumentation,and kinematic enhancement-have effectively overcome the physical limitations of traditional endoscopy regarding traction,stability,and suturing.These advancements not only lower the technical threshold and complication risks associated with complex endoscopic procedures but also expand the therapeutic boundaries of endoscopic surgery.Concurrently,the integration of cloud-network convergence and multi-modal big data dismantles information silos,providing a robust foundation for remote collaboration,standardized training,and real-world studies,with data governance adhering to FAIR principles serving as a critical pillar.Furthermore,LLMs combined with Retrieval-Augmented Generation(RAG)demonstrate substantial potential in clinical decision support,automated reporting,and patient education.Although challenges persist regarding model generalization,workflow integration,alarm fatigue,cost-effectiveness,and data privacy/compliance,future advancements focusing on multi-center validation,interpretability,uncertainty quantification,optimized human-machine interfaces,and value-based payment and regulatory frameworks will continue to propel digestive endoscopic surgery toward safe,widespread,and homogenized clinical practice.关键词
消化内镜外科/人工智能/机器人/大数据与云平台/大语言模型Key words
digestive endoscopic surgery/artificial intelli-gence/robotics/big data and cloud/large language models分类
医药卫生引用本文复制引用
诸炎,付佩尧,罗特,王烁,李全林,周平红..数智化诊疗技术在消化内镜外科中创新应用与临床实践[J].中国实用外科杂志,2026,46(1):24-28,34,6.基金项目
国家自然科学基金面上项目(No.82570629,No.82270569,No.82200600) （No.82570629,No.82270569,No.82200600）
上海市基础研究"探索者计划"项目(No.25TS1411400) National Natural Science Foundation of China(General Program,No.82570629,No.82270569,No.82200600) （No.25TS1411400）
Shanghai Basic Research Funding(No.25TS1411400) （No.25TS1411400）
