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Articles Published Processes
3/7/2023 4:31:44 PM | Browse: 162 | Download: 295
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Received |
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2022-09-28 10:32 |
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Peer-Review Started |
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2022-09-28 10:34 |
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To Make the First Decision |
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Return for Revision |
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2023-01-03 21:08 |
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Revised |
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2023-01-13 17:45 |
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Second Decision |
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2023-02-07 04:04 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2023-02-27 22:39 |
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Articles in Press |
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2023-02-27 22:39 |
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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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2023-02-28 07:09 |
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Publish the Manuscript Online |
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2023-03-07 16:31 |
| ISSN |
1007-9327 (print) and 2219-2840 (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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
©The Author(s) 2023. 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 |
Review |
| Article Title |
Clinical impact of artificial intelligence-based solutions on imaging of the pancreas and liver
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| Manuscript Source |
Invited Manuscript |
| All Author List |
M Alvaro Berbís, Felix Paulano Godino, Javier Royuela del Val, Lidia Alcalá Mata and Antonio Luna |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Antonio Luna, MD, PhD, Director, Department of Radiology, HT Médica, Clínica las Nieves, MRI Unit, 2 Carmelo Torres, Jaén 23007, Spain. aluna70@htmedica.com |
| Key Words |
Artificial intelligence; Machine learning; Deep learning; Imaging; Liver; Pancreas |
| Core Tip |
The gastroenterology field is changing with the application of artificial intelligence (AI) solutions capable of assisting and even automating the interpretation of radiological images (ultrasound, endoscopic ultrasound, computerized tomography, magnetic resonance imaging, and positron emission tomography), generating accurate and reproducible diagnoses. AI can further be applied to other steps of the radiological workflow beyond image interpretation, including test selection, image quality improvement, acceleration of image acquisition, and prediction of patient prognosis and outcome. We herein discuss the current evidence, challenges, and future directions on the application of AI to hepatic and pancreatic radiology. |
| Publish Date |
2023-03-07 16:31 |
| Citation |
Berbís MA, Paulano Godino F, Royuela del Val J, Alcalá Mata L, Luna A. Clinical impact of artificial intelligence-based solutions on imaging of the pancreas and liver. World J Gastroenterol 2023; 29(9): 1427-1445 |
| URL |
https://www.wjgnet.com/1007-9327/full/v29/i9/1427.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v29.i9.1427 |
© 2004-2024 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
