[Applications of Artificial Intelligence in Pancreatic Cystic Lesion Imaging].

Zhongguo Yi Xue Ke Xue Yuan Xue Bao

Department of Radiology,PUMC Hospital, Translational Medical Center,CAMS and PUMC,Beijing 100730,China.

Published: April 2024

AI Article Synopsis

  • The detection of pancreatic cystic lesions (PCL) is on the rise, with artificial intelligence (AI) making significant advancements in the imaging process related to these lesions.
  • AI contributes to various aspects of PCL imaging, such as improving image quality, detecting and segmenting lesions, and aiding in diagnosis and differential diagnosis.
  • The article summarizes current applications of AI in PCL imaging and discusses potential future research directions in this field.

Article Abstract

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.

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Source
http://dx.doi.org/10.3881/j.issn.1000-503X.15633DOI Listing

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