Exploring the application and future outlook of Artificial intelligence in pancreatic cancer

Pancreatic cancer, an exceptionally malignant tumor of the digestive system, presents a challenge due to its lack of typical early symptoms and highly invasive nature. The majority of pancreatic cancer patients are diagnosed when curative surgical resection is no longer possible, resulting in a poor...

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Published inFrontiers in oncology Vol. 14; p. 1345810
Main Authors Zhao, Guohua, Chen, Xi, Zhu, Mengying, Liu, Yang, Wang, Yue
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 21.02.2024
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Summary:Pancreatic cancer, an exceptionally malignant tumor of the digestive system, presents a challenge due to its lack of typical early symptoms and highly invasive nature. The majority of pancreatic cancer patients are diagnosed when curative surgical resection is no longer possible, resulting in a poor overall prognosis. In recent years, the rapid progress of Artificial intelligence (AI) in the medical field has led to the extensive utilization of machine learning and deep learning as the prevailing approaches. Various models based on AI technology have been employed in the early screening, diagnosis, treatment, and prognostic prediction of pancreatic cancer patients. Furthermore, the development and application of three-dimensional visualization and augmented reality navigation techniques have also found their way into pancreatic cancer surgery. This article provides a concise summary of the current state of AI technology in pancreatic cancer and offers a promising outlook for its future applications.
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Reviewed by: Antonella Argentiero, National Cancer Institute Foundation (IRCCS), Italy
Vinod Kumar Yata, University of South Florida, United States
Edited by: Jennifer M. Bailey-Lundberg, University of Texas Health Science Center at Houston, United States
These authors share first authorship
ISSN:2234-943X
2234-943X
DOI:10.3389/fonc.2024.1345810