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

Wang, X; Chung, WY; Correa, ES; Zhu, Yi; Issa, E; Dennison, AR

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


Authors

X Wang

WY Chung

ES Correa

Yi Zhu

E Issa

AR Dennison



Abstract

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.

Citation

Wang, X., Chung, W., Correa, E., Zhu, Y., Issa, E., & Dennison, A. (2020). The integration of artificial intelligence models to augment imaging modalities in pancreatic cancer. Journal of Pancreatology, 3(4), 173-180. https://doi.org/10.1097/JP9.0000000000000056

Journal Article Type Article
Online Publication Date Dec 24, 2020
Publication Date Dec 24, 2020
Deposit Date Aug 3, 2021
Publicly Available Date Aug 3, 2021
Journal Journal of Pancreatology
Print ISSN 2096-5664
Electronic ISSN 2577-3577
Publisher Lippincott, Williams & Wilkins
Volume 3
Issue 4
Pages 173-180
DOI https://doi.org/10.1097/JP9.0000000000000056
Publisher URL https://doi.org/10.1097/JP9.0000000000000056
Related Public URLs https://journals.lww.com/jpancreatology/pages/default.aspx

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