国际医学放射学杂志2024，Vol.47Issue(1)：48-52,5.DOI:10.19300/j.2024.Z20958
人工智能在特发性肺纤维化中的研究进展
Research progress of artificial intelligence in idiopathic pulmonary fibrosis
王艳艳 1吴华伟1
作者信息
- 1. 上海交通大学医学院附属仁济医院放射科,上海 200127
- 折叠
摘要
Abstract
Idiopathic pulmonary fibrosis(IPF)is a lethal chronic progressive fibrotic interstitial pneumonia.Early diagnosis and timely initiation of antifibrotic therapy are key factors in prolonging the survival time of IPF patients.Artificial intelligence(AI)technology is capable of automatically learning features that cannot be recognized by the human eye.The application of AI in computer-aided detection(CAD)systems can provide decision support,which can help improve the diagnostic accuracy and predict disease progression for IPF patients.This paper reviews the concepts related to AI and the current status of its research in diagnosis,disease progression and prognosis prediction,and evaluation of drug therapy response in IPF patients.关键词
特发性肺纤维化/间质性肺炎/人工智能/计算机辅助检测/体层摄影术,X线计算机Key words
Idiopathic pulmonary fibrosis/Interstitial pneumonia/Artificial intelligence/Computer-aided detection/Tomography,X-ray computed分类
医药卫生引用本文复制引用
王艳艳,吴华伟..人工智能在特发性肺纤维化中的研究进展[J].国际医学放射学杂志,2024,47(1):48-52,5.
