Artificial intelligence in upper GI endoscopy ‐ current status, challenges and future promise-Reference-Cited by-同舟云学术

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Artificial intelligence in upper GI endoscopy ‐ current status, challenges and future promise

Published:2021-01 Issue:1 Volume:36 Page:20-24
ISSN:0815-9319
Container-title:Journal of Gastroenterology and Hepatology
language:en
Short-container-title:Journal of Gastroenterology and Hepatology

Author:

Yu Honggang¹^ORCID,Singh Rajvinder²,Shin Seon Ho²,Ho Khek Yu³

Affiliation:

1. Department of Gastroenterology Renmin Hospital of Wuhan University Wuhan China

2. Department of Gastroenterology Lyell McEwin Hospital, University of Adelaide Adelaide South Australia Australia

3. Department of Gastroenterology and Hepatology National University Hospital, National University of Singapore Singapore

Publisher

Wiley

Subject

Gastroenterology,Hepatology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jgh.15354

Reference36 articles.

1. Rate of missed oesophageal cancer at routine endoscopy and survival outcomes: a multicentric cohort study;Rodríguez de Santiago E;United European Gastroenterol J,2019

2. Evaluation of the diagnostic accuracy of gastroscopy to detect gastric tumours: clinicopathological features and prognosis of patients with gastric cancer missed on endoscopy;Voutilainen ME;Eur J Gastroenterol Hepatol,2005

3. Gastric adenocarcinoma missed at endoscopy;Amin A;J R Coll Surg Edinb,2002

4. A computer system to be used with laser‐based endoscopy for quantitative diagnosis of early gastric cancer;Miyaki R;J Clin Gastroenterol,2015

5. Computer‐aided diagnosis for identifying and delineating early gastric cancers in magnifying narrow‐band imaging;Kanesaka T;Gastrointest Endosc,2018

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2. Anwendung von künstlicher Intelligenz in der onkologischen Chirurgie des oberen Gastrointestinaltrakts;Wiener klinisches Magazin;2023-09-01

3. Revolutionizing healthcare by use of artificial intelligence in esophageal carcinoma – a narrative review;Annals of Medicine & Surgery;2023-08-15

4. Comparing artificial intelligence to humans for endoscopic diagnosis of gastric neoplasia: An external validation study;Journal of Gastroenterology and Hepatology;2023-07-05

5. Comparative study of convolutional neural network architectures for gastrointestinal lesions classification;PeerJ;2023-03-16

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