Mubarak M, Rashid R, Sapna F, Shakeel S. Expanding role and scope of artificial intelligence in the field of gastrointestinal pathology. Artif Intell Gastroenterol 2024; 5(2): 91550 [DOI: 10.35712/aig.v5.i2.91550]
Corresponding Author of This Article
Muhammed Mubarak, MD, Full Professor, Department of Histopathology, Sindh Institute of Urology and Transplantation, Chand Bibi Road, Karachi 74200, Sindh, Pakistan. drmubaraksiut@yahoo.com
Research Domain of This Article
Pathology
Article-Type of This Article
Minireviews
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
Artif Intell Gastroenterol. Aug 8, 2024; 5(2): 91550 Published online Aug 8, 2024. doi: 10.35712/aig.v5.i2.91550
Expanding role and scope of artificial intelligence in the field of gastrointestinal pathology
Muhammed Mubarak, Rahma Rashid, Fnu Sapna, Shaheera Shakeel
Muhammed Mubarak, Rahma Rashid, Shaheera Shakeel, Department of Histopathology, Sindh Institute of Urology and Transplantation, Karachi 74200, Sindh, Pakistan
Fnu Sapna, Department of Pathology, Montefiore Medical Center, The University Hospital for Albert Einstein School of Medicine, Bronx, NY 10461, United States
Author contributions: Mubarak M and Rashid R designed the research study and wrote the manuscript; Mubarak M, Rashid R, Sapna F, and Shakeel S performed the research; All authors contributed equally to this work, and read and approved the final manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
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: Muhammed Mubarak, MD, Full Professor, Department of Histopathology, Sindh Institute of Urology and Transplantation, Chand Bibi Road, Karachi 74200, Sindh, Pakistan. drmubaraksiut@yahoo.com
Received: December 30, 2023 Revised: July 6, 2024 Accepted: July 29, 2024 Published online: August 8, 2024 Processing time: 190 Days and 21.6 Hours
Abstract
Digital pathology (DP) and its subsidiaries including artificial intelligence (AI) are rapidly making inroads into the area of diagnostic anatomic pathology (AP) including gastrointestinal (GI) pathology. It is poised to revolutionize the field of diagnostic AP. Historically, AP has been slow to adopt digital technology, but this is changing rapidly, with many centers worldwide transitioning to DP. Coupled with advanced techniques of AI such as deep learning and machine learning, DP is likely to transform histopathology from a subjective field to an objective, efficient, and transparent discipline. AI is increasingly integrated into GI pathology, offering numerous advancements and improvements in overall diagnostic accuracy, efficiency, and patient care. Specifically, AI in GI pathology enhances diagnostic accuracy, streamlines workflows, provides predictive insights, integrates multimodal data, supports research, and aids in education and training, ultimately improving patient care and outcomes. This review summarized the latest developments in the role and scope of AI in AP with a focus on GI pathology. The main aim was to provide updates and create awareness among the pathology community.
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.
