Artificial intelligence for the management of pancreatic diseases.
artificial intelligence
diagnosis, computer-assisted
diagnostic imaging
endoscopy
pancreatic diseases
Journal
Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
ISSN: 1443-1661
Titre abrégé: Dig Endosc
Pays: Australia
ID NLM: 9101419
Informations de publication
Date de publication:
Jan 2021
Jan 2021
Historique:
received:
31
07
2020
revised:
29
09
2020
accepted:
11
10
2020
pubmed:
17
10
2020
medline:
29
7
2021
entrez:
16
10
2020
Statut:
ppublish
Résumé
Novel artificial intelligence techniques are emerging in all fields of healthcare, including gastroenterology. The aim of this review is to give an overview of artificial intelligence applications in the management of pancreatic diseases. We performed a systematic literature search in PubMed and Medline up to May 2020 to identify relevant articles. Our results showed that the development of machine-learning based applications is rapidly evolving in the management of pancreatic diseases, guiding precision medicine in clinical, endoscopic and radiologic settings. Before implementation into clinical practice, further research should focus on the external validation of novel techniques, clarifying the accuracy and robustness of these models.
Identifiants
pubmed: 33065754
doi: 10.1111/den.13875
pmc: PMC7898901
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
231-241Informations de copyright
© 2020 The Authors. Digestive Endoscopy published by John Wiley & Sons Australia, Ltd on behalf of Japan Gastroenterological Endoscopy Society.
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