胆道肿瘤诊治数智化进展和未来研究方向OA
Digital Intelligence in biliary tract cancers diagnosis and treatment:advances and future directions
随着信息数字化与人工智能的发展,数智化技术有望提高胆道肿瘤的诊治水平.胆道肿瘤诊治数智化历经三个阶段,即诊治全流程规范化、全疾病周期信息数字化、基于充分数据的智能化.数智化技术目前已在胆道肿瘤的早期诊断与鉴别诊断、术前评估与术中导航、术后并发症与预后预测等方面取得显著进展.胆道肿瘤诊治数智化的未来发展有赖于构建全疾病周期大型数据集,推动基于人工智能的多模态数据深度融合,优化算法,开发和普及数智化诊治工具,实现胆道肿瘤诊疗从局部最优到整体最优的发展.
With the development of information digitalization and artificial intelligence,digital-intelligence technology is expected to improve the diagnosis and treatment of biliary tract cancers(BTCs).The digital-intelligent development of biliary tract cancer diagnosis and treatment has gone through three stages:standardization of diagnosis and treatment process throughout the full cycle,digitalization of information throughout the full disease cycle,and intelligentization based on sufficient data.Currently,digital-intelligence technology has achieved remarkable progress in early diagnosis and differential diagnosis,preoperative evaluation and intraoperative navigation,as well as postoperative complication and prognosis prediction of BTCs.The future development of digital-intelligence in BTCs diagnosis and treatment relies on establishing large-scale datasets covering the full disease cycle,promoting in-depth fusion of multimodal data based on artificial intelligence,optimizing algorithms,and developing and popularizing digital-intelligent diagnosis and treatment tools,thereby realizing the transformation of BTCs diagnosis and treatment from local optimization to global optimization.
刘颖斌;孙旭恒;王一钧;张薇
上海交通大学医学院附属仁济医院胆胰外科,上海 200127||上海交通大学医学院附属仁济医院嘉定分院普外科,上海 201800||上海市肿瘤系统调控与转化重点实验室,上海 200127||遵义医科大学附属医院普通外科遵义医科大学附属医院消化病医院,贵州遵义 563000上海交通大学医学院附属仁济医院胆胰外科,上海 200127上海交通大学医学院附属仁济医院胆胰外科,上海 200127上海交通大学医学院附属仁济医院宁波医院(宁波市杭州湾医院),浙江宁波 315336
医药卫生
数字化人工智能数智化胆道肿瘤全疾病周期
digitalizationartificial intelligencedigital-intelligencebiliary tract cancers(BTCs)full disease cycle
《中国实用外科杂志》 2026 (1)
29-34,6
National Natural Science Foundation of China(No.32130036)The Special Program for Clinical Research in Healthcare Industry of Shanghai Municipal Health Commission(No.202540164) 国家自然科学基金项目(No.32130036)上海市卫生健康委员会卫生行业临床研究专项(No.202540164)
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