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28-10-2024 | Artificial Intelligence | Review

Advancements in early detection of pancreatic cancer: the role of artificial intelligence and novel imaging techniques

Authors: Chenchan Huang, Yiqiu Shen, Samuel J. Galgano, Ajit H. Goenka, Elizabeth M. Hecht, Avinash Kambadakone, Zhen Jane Wang, Linda C. Chu

Published in: Abdominal Radiology

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Abstract

Early detection is crucial for improving survival rates of pancreatic ductal adenocarcinoma (PDA), yet current diagnostic methods can often fail at this stage. Recently, there has been significant interest in improving risk stratification and developing imaging biomarkers, through novel imaging techniques, and most notably, artificial intelligence (AI) technology. This review provides an overview of these advancements, with a focus on deep learning methods for early detection of PDA.

Graphical abstract

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Metadata
Title
Advancements in early detection of pancreatic cancer: the role of artificial intelligence and novel imaging techniques
Authors
Chenchan Huang
Yiqiu Shen
Samuel J. Galgano
Ajit H. Goenka
Elizabeth M. Hecht
Avinash Kambadakone
Zhen Jane Wang
Linda C. Chu
Publication date
28-10-2024
Publisher
Springer US
Published in
Abdominal Radiology
Print ISSN: 2366-004X
Electronic ISSN: 2366-0058
DOI
https://doi.org/10.1007/s00261-024-04644-7

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