解放军医学院学报2023，Vol.44Issue(11)：1297-1300,封3,5.DOI:10.12435/j.issn.2095-5227.2023.053
人工智能在甲状腺细胞病理学诊断中的研究进展
Research advances in artificial intelligence in cytopathologic diagnosis of thyroid
摘要
Abstract
The incidence of thyroid cancer is increasing year by year,ultrasound-guided fine needle puncture is a relatively simple,minimally invasive,and highly accurate diagnostic method.In recent years,artificial intelligence(AI)has been widely used in many medical fields,significantly improving the efficiency and accuracy of disease diagnosis.This paper focuses on the latest literature on the application of AI in thyroid cytopathological diagnosis,reviews the research status,analyzes the difficulties and challenges faced by AI in thyroid cytopathology,and points out the future application prospects of AI in thyroid cytopathology.关键词
人工智能/甲状腺/病理/细胞学/数字图像Key words
artificial intelligence/thyroid/pathology/cytology/digital images分类
医药卫生引用本文复制引用
林宇,罗渝昆,李杰,王宏伟..人工智能在甲状腺细胞病理学诊断中的研究进展[J].解放军医学院学报,2023,44(11):1297-1300,封3,5.基金项目
北京市科委其他项目(Z221100003522001) （Z221100003522001）
解放军总医院临床科研扶持基金(ZH19021) （ZH19021）
