Artificial neural networks in pancreatic disease
- 12 June 2008
- journal article
- review article
- Published by Oxford University Press (OUP) in British Journal of Surgery
- Vol. 95 (7), 817-826
- https://doi.org/10.1002/bjs.6239
Abstract
Background: An artificial neural network (ANNs) is a non‐linear pattern recognition technique that is rapidly gaining in popularity in medical decision‐making. This study investigated the use of ANNs for diagnostic and prognostic purposes in pancreatic disease, especially acute pancreatitis and pancreatic cancer. Methods: PubMed was searched for articles on the use of ANNs in pancreatic diseases using the MeSH terms ‘neural networks (computer)’, ‘pancreatic neoplasms’, ‘pancreatitis’ and ‘pancreatic diseases’. A systematic review of the articles was performed. Results: Eleven articles were identified, published between 1993 and 2007. The situations that lend themselves best to analysis by ANNs are complex multifactorial relationships, medical decisions when a second opinion is needed and when automated interpretation is required, for example in a situation of an inadequate number of experts. Conclusion: Conventional linear models have limitations in terms of diagnosis and prediction of outcome in acute pancreatitis and pancreatic cancer. Management of these disorders can be improved by applying ANNs to existing clinical parameters and newly established gene expression profiles. Copyright © 2008 British Journal of Surgery Society Ltd. Published by John Wiley & Sons, Ltd.Keywords
This publication has 59 references indexed in Scilit:
- Multispectral imaging and artificial neural network: mimicking the management decision of the clinician facing pigmented skin lesionsPhysics in Medicine & Biology, 2007
- Artificial neural network is superior to MELD in predicting mortality of patients with end-stage liver diseaseGut, 2007
- Cyclooxygenase-2 expression correlates with poor prognosis in pancreatic cancerJournal of Clinical Pathology, 2006
- Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machinesArtificial Intelligence in Medicine, 2005
- “Good Old” clinical markers have similar power in breast cancer prognosis as microarray gene expression profilersEuropean Journal of Cancer, 2004
- Hepatic injury and pancreatitis during treatment with serotonin reuptake inhibitorsInternational Clinical Psychopharmacology, 2003
- United Kingdom guidelines for the management of acute pancreatitisGut, 1998
- Editorial: Pancreatic CancerJournal of Clinical Gastroenterology, 1996
- Pancreatic Cancer and the Familial Atypical Multiple Mole Melanoma (FAMMM) SyndromePancreas, 1991
- APACHE IICritical Care Medicine, 1985