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

Wang, X, Chung, WY, Correa, ES ORCID: https://orcid.org/0000-0002-5122-4384, Zhu, Yi, Issa, E and Dennison, AR 2020, 'The integration of artificial intelligence models to augment imaging modalities in pancreatic cancer' , Journal of Pancreatology, 3 (4) , pp. 173-180.

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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.

Item Type: Article
Schools: Schools > School of Health and Society
Journal or Publication Title: Journal of Pancreatology
Publisher: Lippincott, Williams & Wilkins
ISSN: 2096-5664
Related URLs:
Depositing User: USIR Admin
Date Deposited: 03 Aug 2021 11:08
Last Modified: 28 Aug 2021 10:30
URI: http://usir.salford.ac.uk/id/eprint/61407

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