Artificial intelligence for the management of pancreatic diseases

Myrte Gorris; Sanne A. Hoogenboom; Michael B. Wallace; Jeanin E. van Hooft

doi:https://doi.org/10.1111/den.13875

Artificial intelligence for the management of pancreatic diseases

Myrte Gorris, Sanne A. Hoogenboom, Michael B. Wallace, Jeanin E. van Hooft

Research output: Contribution to journal › Review article › Academic › peer-review

20 Citations (Scopus)

Abstract

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.

Original language	English
Journal	Digestive Endoscopy
Early online date	2020
DOIs	https://doi.org/10.1111/den.13875
Publication status	Published - Jan 2021

Keywords

artificial intelligence
diagnosis, computer-assisted
diagnostic imaging
endoscopy
pancreatic diseases

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https://doi.org/10.1111/den.13875

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title = "Artificial intelligence for the management of pancreatic diseases",

abstract = "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.",

keywords = "artificial intelligence, diagnosis, computer-assisted, diagnostic imaging, endoscopy, pancreatic diseases",

author = "Myrte Gorris and Hoogenboom, {Sanne A.} and Wallace, {Michael B.} and {van Hooft}, {Jeanin E.}",

note = "Publisher Copyright: {\textcopyright} 2020 The Authors. Digestive Endoscopy published by John Wiley & Sons Australia, Ltd on behalf of Japan Gastroenterological Endoscopy Society.",

year = "2021",

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AU - Gorris, Myrte

AU - Hoogenboom, Sanne A.

AU - Wallace, Michael B.

AU - van Hooft, Jeanin E.

PY - 2021/1

Y1 - 2021/1

N2 - 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.

AB - 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.

KW - artificial intelligence

KW - diagnosis, computer-assisted

KW - diagnostic imaging

KW - endoscopy

KW - pancreatic diseases

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DO - https://doi.org/10.1111/den.13875

M3 - Review article

C2 - 33065754

SN - 0915-5635

JO - Digestive Endoscopy

JF - Digestive Endoscopy

ER -

Artificial intelligence for the management of pancreatic diseases

Abstract

Keywords

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