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人工智能技术在肺亚实性结节应用中的研究进展

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持续存在的亚实性结节(SSN)与肺癌密切相关.人工智能(AI)在医学影像领域的应用愈发广泛,有助于提高医师工作效率,为临床推广和应用提供更大的可能,在SSN诊疗中显示出重要价值和潜力.文章对近年来AI技术在肺SSN的检出与分割、进展与演变预测、良恶性鉴别、病理亚型和侵袭性预测以及数据提取、扩充等方面的研究进展进行综述.
Research progress of the application of artificial intelligence technology in subsolid pulmonary nodules
The persistent subsolid nodules(SSN)are closely related to lung cancer.The application of artificial intelligence(AI)in medical imaging is becoming more and more widespread,which helps to improve doctors'work efficiency.It provides greater possibilities for clinical promotion and application,showing important value and potential in the diagnosis and treatment of SSN.This article reviews the research progress in recent years on AI technology in detecting and segmenting,predicting progress and evolution,distinguishing between benign and malignant nodules,predicting pathological subtypes and invasiveness,as well as data extraction and augmentation.

artificial intelligencepulmonary nodulessubsolid nodules

沈昱、李新宇、吕文晖、卢光明

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210002 南京,南京医科大学金陵临床医学院(东部战区总医院)放射科

210009 南京,东南大学附属中大医院放射科

人工智能 肺结节 亚实性结节

科技部科技创新2030-重大项目"新一代人工智能"专项

2020AAA0109505

2024

医学研究生学报
南京军区南京总医院

医学研究生学报

CSTPCD北大核心
影响因子:1.652
ISSN:1008-8199
年,卷(期):2024.37(5)