人工智能在肿瘤标志物研究领域中的应用  

Applications of artificial intelligence in the field of tumor markers research

作　　者：李卓苒 赵杰 王志杰 Li Zhuoran;Zhao Jie;Wang Zhijie(Department of Medical Oncology National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital,Chinese Academy of Medical Sciences and Peking Union Medical College,Beijing 100021,China)

机构地区：[1]国家癌症中心/国家肿瘤临床医学研究中心/中国医学科学院北京协和医学院肿瘤医院肿瘤内科,北京100021

出　　处：《肿瘤综合治疗电子杂志》2025年第1期26-35,共10页Journal of Multidisciplinary Cancer Management(Electronic Version)

摘　　要：近年来,人工智能(artificial intelligence,AI)技术飞速发展,在肿瘤领域得到广泛应用,且AI技术在肿瘤的诊断、疗效预测、预后分析等多方面均展现出可观的性能。本文主要从数字病理学、放射组学、基因组学、蛋白质组学等多种组学数据出发,论述如机器学习、深度学习等AI算法在肿瘤标志物方面的研究进展,并归纳AI技术在临床应用中的优势和局限性。With the rapid development of artificial intelligence(AI)technology,AI has been widely used in the oncologyfield.And AI has shown promising performance in tumor diagnosis,treatment efficacy prediction,and prognosis analysis.This review mainly focused on studies of AI(machine learning,deep learning,etc.)in detecting tumor markers and predicting prognosis,based on various types of data,such as digital pathology,radiomics,genomics,and proteomics data,etc.We have summarized the advantages and limitations of AI technology in this paper.

关 键 词：人工智能 肿瘤标志物 数字病理学 放射组学 

分 类 号：R73[医药卫生—肿瘤]