BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
4/25/2021 8:01:44 AM | Browse: 450 | Download: 741
Publication Name Artificial Intelligence in Gastroenterology
Manuscript ID 62911
Country/Territory United States
Received
2021-01-26 04:24
Peer-Review Started
2021-01-26 04:31
To Make the First Decision
Return for Revision
2021-02-27 14:04
Revised
2021-03-31 12:26
Second Decision
2021-04-19 06:03
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2021-04-20 05:11
Articles in Press
2021-04-20 05:11
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2021-04-25 01:39
Publish the Manuscript Online
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
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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
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
Author(s) ORCID Number
Passisd Laoveeravat http://orcid.org/0000-0001-6855-0437
Priya R Abhyankar http://orcid.org/0000-0003- 4835-6439
Aaron R Brenner http://orcid.org/0000-0001-8816-9182
Moamen M Gabr http://orcid.org/0000-0002-0069-5047
Fadlallah G Habr http://orcid.org/0000-0001-7954-1413
Amporn Atsawarungruangkit http://orcid.org/0000-0003-0622-6839
Funding Agency and Grant Number
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
Full Article (PDF) AIG-2-56.pdf
Full Article (Word) AIG-2-56.docx
Manuscript File 62911_Auto_Edited.docx
Answering Reviewers 62911-Answering reviewers.pdf
Audio Core Tip 62911-Audio core tip.mp4
Conflict-of-Interest Disclosure Form 62911-Conflict-of-interest statement.pdf
Copyright License Agreement 62911-Copyright license agreement.pdf
Peer-review Report 62911-Peer-review(s).pdf
Scientific Misconduct Check 62911-Scientific misconduct check.pdf
Scientific Editor Work List 62911-Scientific editor work list.pdf