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Articles Published Processes
4/25/2021 8:01:44 AM | Browse: 609 | Download: 1052
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Received |
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2021-01-26 04:24 |
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Peer-Review Started |
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2021-01-26 04:31 |
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To Make the First Decision |
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Return for Revision |
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2021-02-27 14:04 |
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Revised |
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2021-03-31 12:26 |
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Second Decision |
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2021-04-19 06:03 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2021-04-20 05:11 |
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Articles in Press |
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2021-04-20 05:11 |
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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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2021-04-25 01:39 |
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Publish the Manuscript Online |
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2021-04-25 08:01 |
| 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) 2021. 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 for pancreatic cancer detection: Recent development and future direction
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Passisd Laoveeravat, Priya R Abhyankar, Aaron R Brenner, Moamen M Gabr, Fadlallah G Habr and Amporn Atsawarungruangkit |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Amporn Atsawarungruangkit, MD, Academic Fellow, Instructor, Research Fellow, Division of Gastroenterology, Warren Alpert Medical School of Brown University, 593 Eddy Street, Providence, RI 02903, United States. amporn_atsawarungruangkit@brown.edu |
| Key Words |
Artificial intelligence; Machine learning; Deep learning; Endoscopic ultrasound; microRNA; Pancreatic cancer; Pancreatic cyst |
| Core Tip |
Artificial intelligence (AI) aided endoscopic ultrasound (EUS) and microRNA analyses are sensitive and effective for pancreatic cancer detection with sensitivity of more than 95%. The size of pancreatic lesion does not affect the diagnostic performance by artificial intelligence. This will help overcome the delayed diagnosis and high mortality of pancreatic cancer. Recent studies showed that the speed of AI system in EUS can be performed in real time fashion. This will be adjunctive to the conventional EUS examination for future utility. |
| Publish Date |
2021-04-25 08:01 |
| Citation |
Laoveeravat P, Abhyankar PR, Brenner AR, Gabr MM, Habr FG, Atsawarungruangkit A. Artificial intelligence for pancreatic cancer detection: Recent development and future direction. Artif Intell Gastroenterol 2021; 2(2): 56-68 |
| URL |
https://www.wjgnet.com/2644-3236/full/v2/i2/56.htm |
| DOI |
https://dx.doi.org/10.35712/aig.v2.i2.56 |
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