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©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Hepatol. Jan 27, 2023; 15(1): 107-115
Published online Jan 27, 2023. doi: 10.4254/wjh.v15.i1.107
Published online Jan 27, 2023. doi: 10.4254/wjh.v15.i1.107
Detection of colorectal adenomas using artificial intelligence models in patients with chronic hepatitis C
Yuvaraj Singh, Anuroop Yekula, Aakriti Soni, Department of Internal Medicine, Saint Vincent Hospital, Worcester, MA 01608, United States
Maya Gogtay, Hospice and Palliative Medicine, University of Texas Health-San Antonio, San Antonio, TX 78201, United States
Ajay Kumar Mishra, Division of Cardiology, Saint Vincent Hospital, Worcester, MA 01608, United States
Kartikeya Tripathi, Division of Gastroenterology and Hepatology, UMass Chan School-Baystate Medical Center, Springfield, MA 01199, United States
GM Abraham, Division of Infectious Disease, Chief of Medicine, Saint Vincent Hospital, Worcester, MA 01608, United States
Author contributions: Singh Y and Gogtay M contributed to the conceptual design of the study; Singh Y, Gogtay M, Yekula A, and Soni A independently screened the medical records and extracted the data; Tripathi K conducted the statistical analysis; Singh Y, Gogtay M, Yekula A and Soni A contributed to the write-up and submission of the study; Tripathi K, Mishra AK, and Abraham G reviewed the final manuscript; and all authors reviewed and agreed the final content of the article.
Institutional review board statement: We obtained approval from the joint institutional review board at MetroWest Medical Center (IRB#2021-035) before initiation and complied with the study protocol. The IRB waived the requirement of consent from study participants.
Informed consent statement: The institutional review board waived the requirement of consent from study participants.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: No additional data are available.
STROBE statement: The authors have read the STROBE Statement-checklist of items, and the manuscript was prepared and revised according to the STROBE Statement-checklist of items.
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/
Corresponding author: Yuvaraj Singh, MD, Chief Medical Resident, Staff Physician, Department of Internal Medicine, Saint Vincent Hospital, 123 Summer Street, Worcester, MA 01608, United States. yuvarajmle@gmail.com
Received: September 21, 2022
Peer-review started: September 21, 2022
First decision: October 12, 2022
Revised: October 21, 2022
Accepted: November 14, 2022
Article in press: November 14, 2022
Published online: January 27, 2023
Peer-review started: September 21, 2022
First decision: October 12, 2022
Revised: October 21, 2022
Accepted: November 14, 2022
Article in press: November 14, 2022
Published online: January 27, 2023
Core Tip
Core Tip: Hepatitis C is associated with a wide array of extra-hepatic manifestations. In this study, we evaluated the incidence of colorectal adenomas and adenoma detection rates in hepatitis C patients. We developed an artificial intelligence-based tool to guide physicians in the detection and diagnosis of pre-malignant and malignant colorectal pathologies in these patient populations.