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Articles Published Processes
6/28/2022 9:38:07 AM | Browse: 463 | Download: 865
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Received |
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2022-03-07 04:01 |
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Peer-Review Started |
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2022-03-07 04:03 |
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To Make the First Decision |
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Return for Revision |
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2022-04-10 05:49 |
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Revised |
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2022-04-16 17:18 |
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Second Decision |
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2022-05-07 07:56 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-05-08 07:13 |
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Articles in Press |
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2022-05-08 07:13 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2022-05-26 06:49 |
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Publish the Manuscript Online |
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2022-06-28 09:38 |
| ISSN |
2644-3236 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
| Copyright |
©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Gastroenterology & Hepatology |
| Manuscript Type |
Minireviews |
| Article Title |
Artificial intelligence using advanced imaging techniques and cholangiocarcinoma: Recent advances and future direction
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Aaron R Brenner, Passisd Laoveeravat, Patrick J Carey, Danielle Joiner, Samuel H Mardini and Manol Jovani |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Manol Jovani, MD, MSc, Assistant Professor, Attending Doctor, Doctor, Doctor, Digestive Diseases and Nutrition, University of Kentucky Albert B. Chandler Hospital, 770 Rose St
Room MN662, Lexington, KY 40536, United States. manol.jovani@mail.harvard.edu |
| Key Words |
Cholangiocarcinoma; Artificial intelligence; Cholangioscopy; Artificial neural network; Machine learning; Therapeutic endoscopy; Endoscopic ultrasound |
| Core Tip |
Artificial intelligence (AI) aided by multiple imaging modalities is accurate and effective for diagnosis and characterization of biliary masses. The advancement and incorporation of imaging into artificial intelligence will help to decrease delay in diagnosis of cholangiocarcinoma and potentially decrease mortality. This review examines studies showing that AI can assist in real-time diagnosis of cholangiocarcinoma and predict outcomes of treatment. Current data suggests that AI will soon become an indispensable part of the armamentarium for the management of cholangiocarcinoma and other biliary diseases. |
| Publish Date |
2022-06-28 09:38 |
| Citation |
Brenner AR, Laoveeravat P, Carey PJ, Joiner D, Mardini SH, Jovani M. Artificial intelligence using advanced imaging techniques and cholangiocarcinoma: Recent advances and future direction. Artif Intell Gastroenterol 2022; 3(3): 88-95 |
| URL |
https://www.wjgnet.com/2644-3236/full/v3/i3/88.htm |
| DOI |
https://dx.doi.org/10.35712/aig.v3.i3.88 |
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