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Articles Published Processes
12/7/2023 8:26:55 AM | Browse: 211 | Download: 502
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Received |
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2023-07-27 14:40 |
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Peer-Review Started |
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2023-07-27 14:42 |
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To Make the First Decision |
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Return for Revision |
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2023-08-31 07:13 |
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Revised |
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2023-09-11 11:35 |
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Second Decision |
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2023-10-07 02:49 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-10-08 07:34 |
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Articles in Press |
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2023-10-08 07:34 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2023-10-01 04:24 |
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Typeset the Manuscript |
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2023-12-06 03:25 |
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Publish the Manuscript Online |
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2023-12-07 08:26 |
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: 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 |
Surgery |
Manuscript Type |
Review |
Article Title |
Role of artificial intelligence in the characterization of indeterminate pancreatic head mass and its usefulness in preoperative diagnosis
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Manuscript Source |
Invited Manuscript |
All Author List |
Palash Rawlani, Nalini Kanta Ghosh and Ashok Kumar |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Ashok Kumar, BSc, FASCRS, FRCS, FRCS (Ed), FRCS (Hon), MBBS, MCh, MS, Professor, Department of Surgical Gastroenterology, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Raebareli Road, Lucknow 226014, Uttar Pradesh, India. doc.ashokgupta@gmail.com |
Key Words |
Artificial intelligence; Indeterminate pancreatic lesion; Imaging; Biomarkers; Diagnosis |
Core Tip |
Surgical management of a pancreatic head lesion usually requires pancreaticoduodenectomy, which is associated with significant morbidity and mortality. For a benign lesion it is unacceptable. Available investigation modalities (computed tomography, magnetic resonance imaging, endoscopic ultrasound, positron emission tomography, biochemical markers) are available today to distinguish benign from malignant lesions and have their limitations (human judgmental errors). The application of artificial intelligence (AI) algorithms can minimize human errors and improve the sensitivity and specificity of diagnostic yield. The AI can help with great precision in differentiating benign from malignant lesions, affecting the management strategy and minimizing the post-operative complications. |
Publish Date |
2023-12-07 08:26 |
Citation |
Rawlani P, Ghosh NK, Kumar A. Role of artificial intelligence in the characterization of indeterminate pancreatic head mass and its usefulness in preoperative diagnosis. Artif Intell Gastroenterol 2023; 4(3): 48-63 |
URL |
https://www.wjgnet.com/2644-3236/full/v4/i3/48.htm |
DOI |
https://dx.doi.org/10.35712/aig.v4.i3.48 |
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