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12/7/2023 8:26:55 AM | Browse: 92 | Download: 138
Publication Name Artificial Intelligence in Gastroenterology
Manuscript ID 87177
Country India
Received
2023-07-27 14:40
Peer-Review Started
2023-07-27 14:42
To Make the First Decision
Return for Revision
2023-08-31 07:13
Revised
2023-09-11 11:35
Second Decision
2023-10-07 02:49
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2023-10-08 07:34
Articles in Press
2023-10-08 07:34
Publication Fee Transferred
Edit the Manuscript by Language Editor
2023-10-01 04:24
Typeset the Manuscript
2023-12-06 03:25
Publish the Manuscript Online
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.
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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
Manuscript Source Invited Manuscript
All Author List Palash Rawlani, Nalini Kanta Ghosh and Ashok Kumar
ORCID
Author(s) ORCID Number
Palash Rawlani http://orcid.org/0009-0008-4478-2020
Nalini Kanta Ghosh http://orcid.org/0000-0003-1213-0235
Ashok Kumar http://orcid.org/0000-0003-3959-075X
Funding Agency and Grant Number
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
Full Article (PDF) AIG-4-48-with-cover.pdf
Full Article (Word) AIG-4-48.docx
Manuscript File 87177_Auto_Edited-CL-Filipodia-JLW.docx
Answering Reviewers 87177-Answering reviewers.pdf
Audio Core Tip 87177-Audio core tip.mp3
Conflict-of-Interest Disclosure Form 87177-Conflict-of-interest statement.pdf
Copyright License Agreement 87177-Copyright license agreement.pdf
Non-Native Speakers of English Editing Certificate 87177-Language certificate.pdf
Peer-review Report 87177-Peer-review(s).pdf
Scientific Misconduct Check 87177-Bing-Lin C-2.png
Scientific Editor Work List 87177-Scientific editor work list.pdf