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Articles Published Processes
4/29/2022 11:12:04 AM | Browse: 446 | Download: 1138
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Received |
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2022-02-01 02:20 |
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Peer-Review Started |
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2022-02-01 02:21 |
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To Make the First Decision |
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Return for Revision |
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2022-02-18 07:35 |
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Revised |
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2022-03-28 04:25 |
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Second Decision |
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2022-04-15 01:58 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2022-04-19 21:42 |
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Articles in Press |
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2022-04-19 21:42 |
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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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2022-04-20 03:27 |
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Publish the Manuscript Online |
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2022-04-29 11:12 |
| 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 |
Machine learning in endoscopic ultrasonography and the pancreas: The new frontier?
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Cem Simsek and Linda S Lee |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Linda S Lee, MD, Associate Professor, Division of Gastroenterology, Hepatology and Endoscopy, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Division of Gastroenterology, Hepatology, and Endoscopy, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA. lslee@partners.org, Boston, MA 02115, United States. lslee@partners.org |
| Key Words |
Artificial intelligence; Pancreas; Endoscopic ultrasonography; Pancreatic cancer; Autoimmune pancreatitis; Pancreatic cystic lesions |
| Core Tip |
Several reviews in the literature have discussed the use of artificial intelligence in pancreatic disease. However, this is the first review that focuses on the application of artificial intelligence (AI) specifically to endoscopic ultrasonography (EUS) of the pancreas, including pancreatic cystic lesions, pancreatic cancer, chronic pancreatitis, and autoimmune pancreatitis, where it appears to enhance EUS diagnosis. AI may also offer real-time assistance during procedures to direct biopsy towards the highest yield areas as well augment EUS training. |
| Publish Date |
2022-04-29 11:12 |
| Citation |
Simsek C, Lee LS. Machine learning in endoscopic ultrasonography and the pancreas: The new frontier? Artif Intell Gastroenterol 2022; 3(2): 54-65 |
| URL |
https://www.wjgnet.com/2644-3236/full/v3/i2/54.htm |
| DOI |
https://dx.doi.org/10.35712/aig.v3.i2.54 |
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