The integration of artificial intelligence models to augment imaging modalities in pancreatic cancer

被引：1

作者：

Wang Xianze ^{[1
]}

Yuan Chung Wen ^{[2
]}

Correa Elon ^{[3
]}

Zhu Yi ^{[4
]}

Issa Eyad ^{[2
]}

Dennison Ashley R

机构：

[1] Department of Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, China

[2] Department of Hepatobiliary and Pancreatic Surgery, Leicester General Hospital, Leicester

[3] School of Computing, Science and Engineering, University of Salford, Manchester

[4] Language Technology Lab, University of Cambridge, Cambridge, UK

来源：

胰腺病学杂志（英文） | 2020年 / 03卷 / 04期

关键词：

Artificial intelligence; Deep learning; Imaging modality; Machine learning; Pancreatic ductal adenocarcinoma;

D O I：

暂无

中图分类号：

R735.9 [胰腺肿瘤];

学科分类号：

100214 ;

摘要：

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy with a limited number of effective treatments. Using emerging technologies such as artificial intelligence (AI) to facilitate the earlier diagnosis and decision-making process represents one of the most promising areas for investigation. The integration of AI models to augment imaging modalities in PDAC has made great progression in the past 5 years, especially in organ segmentation, AI-aided diagnosis, and radiomics based individualized medicine. In this article, we review the developments of AI in the field of PDAC and the present clinical position. We also examine the barriers to future development and more widespread application which will require increased familiarity of the underlying technology among clinicians to promote the necessary enthusiasm and collaboration with computer professionals.

引用

页码：173 / 180

页数：8

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