Artificial intelligence in endoscopy: the challenges and future directions
Article
Gao, X. and Braden, B. 2021. Artificial intelligence in endoscopy: the challenges and future directions. Artifical Intelligence in Gastrointestinal Endoscopy. 2 (4), pp. 117-126. https://doi.org/10.37126/aige.v2.i4.117
Type | Article |
---|---|
Title | Artificial intelligence in endoscopy: the challenges and future directions |
Authors | Gao, X. and Braden, B. |
Abstract | Artificial intelligence based approaches, in particular deep learning, have achieved state-of-the-art performance in medical fields with increasing number of software systems being approved by both Europe and United States. This paper reviews their applications to early detection of oesophageal cancers with a focus on their advantages and pitfalls. The paper concludes with future recommendations towards the development of a real-time, clinical implementable, interpretable and robust diagnosis support systems. |
Keywords | Deep learning, Oesophageal cancer, Early detection, Squamous cell cancer, Barrett’s oesophagus |
Publisher | Baishideng Publishing Group (BPG) |
Journal | Artifical Intelligence in Gastrointestinal Endoscopy |
ISSN | 2689-7164 |
Electronic | 2689-7164 |
Publication dates | |
Online | 28 Aug 2021 |
28 Aug 2021 | |
Publication process dates | |
Deposited | 10 Sep 2021 |
Accepted | 15 Jul 2021 |
Output status | Published |
Publisher's version | License |
Copyright Statement | ©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved. |
Digital Object Identifier (DOI) | https://doi.org/10.37126/aige.v2.i4.117 |
Language | English |
https://repository.mdx.ac.uk/item/8979y
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