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AI-powered innovations in pancreatitis imaging: a comprehensive literature synthesis.
- Source :
-
Abdominal radiology (New York) [Abdom Radiol (NY)] 2024 Aug 12. Date of Electronic Publication: 2024 Aug 12. - Publication Year :
- 2024
- Publisher :
- Ahead of Print
-
Abstract
- Early identification of pancreatitis remains a significant clinical diagnostic challenge that impacts patient outcomes. The evolution of quantitative imaging followed by deep learning models has shown great promise in the non-invasive diagnosis of pancreatitis and its complications. We provide an overview of advancements in diagnostic imaging and quantitative imaging methods along with the evolution of artificial intelligence (AI). In this article, we review the current and future states of methodology and limitations of AI in improving clinical support in the context of early detection and management of pancreatitis.<br /> (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Details
- Language :
- English
- ISSN :
- 2366-0058
- Database :
- MEDLINE
- Journal :
- Abdominal radiology (New York)
- Publication Type :
- Academic Journal
- Accession number :
- 39133362
- Full Text :
- https://doi.org/10.1007/s00261-024-04512-4