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

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