摘要
在计算机技术快速发展的时代,人工智能(artificial intelligence,AI)与数字化病理图像的结合日益影响着病理学的大部分领域,有助于病理诊断转向数字化。膀胱癌(bladder cancer,BCa)是泌尿系统常见的恶性肿瘤,病理诊断是诊断BCa的“金标准”。近年来AI技术在BCa病理学领域取得突破性的研究进展,成为实现BCa精准诊疗的催化剂,在一定程度上可提高诊断的客观性、准确性以及自动化程度,有望成为病理医生的有力辅助诊断工具,指导临床医生制订个体化治疗方案,从而改善BCa患者生存获益。
In the era of computer technology developing rapidly,the combination of artificial intelligence(AI)and digital pathological images is increasingly affecting most areas of pathology and is contributing to the transformation of pathological diagnosis into digitalization.Bladder cancer(BCa)is one of the most common malignant tumors in urinary system,and the pathological diagnosis is the“golden-standard”for the diagnosis of bladder cancer.In recent years,the breakthrough research progress based on AI technology in the field of bladder cancer pathology becomes a catalyst for realizing accurate diagnosis and treatment of bladder cancer.To a certain extent,AI technology improves the objectivity,accuracy,and automation of diagnosis,and it is expected to become a powerful auxiliary diagnosis tool for pathologists and to guide clinicians to develop individualized treatment plans.Ultimately AI technology will improve the survival benefits of patients with bladder cancer.
作者
唐颖(综述)
白淘
王效春
杨国强(审校)
TANG Ying;BAI Tao;WANG Xiaochun;YANG Guoqiang(Department of Pathology,First Hospital of Shanxi Medical University,Taiyuan 030001;Department of Radiology,First Hospital of Shanxi Medical University,Taiyuan 030001,China)
出处
《临床与病理杂志》
CAS
2022年第8期2031-2037,共7页
Journal of Clinical and Pathological Research
基金
国家自然科学基金(81971592)
山西省卫生健康委员会科研项目(2017035)
山西省科技厅重点研发项目(201903D321189)
山西省基础应用研究项目(201801D121331)。
关键词
人工智能
膀胱癌
病理诊断
数字化病理图像
artificial intelligence
bladder cancer
pathologic diagnosis
digital pathological image
