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Publication Name Artificial Intelligence in Gastroenterology
Manuscript ID 91550
Country Pakistan
Category Pathology
Manuscript Type Minireviews
Article Title Expanding role and scope of artificial intelligence in the field of gastrointestinal pathology
Manuscript Source Invited Manuscript
All Author List Muhammed Mubarak, Rahma Rashid, Fnu Sapna and Shaheera Shakeel
Funding Agency and Grant Number
Corresponding Author Muhammed Mubarak, MD, Full Professor, Department of Histopathology, Sindh Institute of Urology and Transplantation, Chand Bibi Road, Karachi 74200, Sindh, Pakistan. drmubaraksiut@yahoo.com
Key Words Gastrointestinal pathology; Digital pathology; Artificial intelligence; Machine learning; Deep learning; Precision diagnostics
Core Tip Anatomic pathology remains largely subjective compared to other diagnostic laboratory fields. However, the digitization of tissue sections and the development of artificial intelligence-based technologies are rapidly advancing image-based diagnostics in anatomic pathology including gastrointestinal pathology. These technologies allow pathologists to make diagnoses more quickly and accurately, particularly for time-consuming and repetitive tasks, leading to higher volumes and faster turnaround times. Increasing awareness of the potential uses and benefits of these emerging technologies is essential for the pathology community.
Citation <p>Mubarak M, Rashid R, Sapna F, Shakeel S. Expanding role and scope of artificial intelligence in the field of gastrointestinal pathology. <i>Artif Intell Gastroenterol</i> 2024; 5(2): 91550</p>
Received
2024-01-30 11:51
Peer-Review Started
2023-12-30 12:39
To Make the First Decision
Return for Revision
2024-06-26 06:39
Revised
2024-07-06 17:49
Second Decision
2024-07-29 02:47
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2024-07-29 07:26
Articles in Press
2024-07-29 07:26
Publication Fee Transferred
Edit the Manuscript by Language Editor
2024-08-04 19:39
Typeset the Manuscript
2024-08-07 03:44
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/
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