[人工智能在胰腺囊性病变成像中的应用]
[Applications of Artificial Intelligence in Pancreatic Cystic Lesion Imaging].
作者信息
Deng Wen-Yi, Xie Fei-Yang, Xue Hua-Dan
机构信息
Department of Radiology,PUMC Hospital,Translational Medical Center,CAMS and PUMC,Beijing 100730,China.
出版信息
Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2024 Apr;46(2):275-280. doi: 10.3881/j.issn.1000-503X.15633.
As the detection rate of pancreatic cystic lesions(PCL)increases,artificial intelligence(AI)has made breakthroughs in the imaging workflow of PCL,including image post-processing,lesion detection,segmentation,diagnosis and differential diagnosis.AI-based image post-processing can optimize the quality of medical images and AI-assisted models for lesion detection,segmentation,diagnosis and differential diagnosis significantly enhance the work efficiency of radiologists.This article reviews the application progress of AI in PCL imaging and provides prospects for future research directions.
随着胰腺囊性病变（PCL）检出率的提高，人工智能（AI）在PCL的成像工作流程中取得了突破，包括图像后处理、病变检测、分割、诊断和鉴别诊断。基于AI的图像后处理可以优化医学图像质量，而用于病变检测、分割、诊断和鉴别诊断的AI辅助模型显著提高了放射科医生的工作效率。本文综述了AI在PCL成像中的应用进展，并对未来的研究方向进行了展望。
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