Page 77 - ITPS-8-1

INNOSC Theranostics

and Pharmacological Sciences

PERSPECTIVE ARTICLE
The transformative role of artificial intelligence in

endoscopy

Usama Khan*
Department of Internal Medicine, Nowshera Medical College, Nowshera, Khyber Pakhtunkhwa,
Pakistan

Abstract
Artificial intelligence (AI) is transforming healthcare, with endoscopy emerging as a
key area for its application. AI-driven tools are advancing gastrointestinal diagnostics
by significantly improving the accuracy and efficiency of detecting conditions such
as colorectal cancer, inflammatory bowel disease, and gastrointestinal bleeding.
Notably, real-time AI-powered polyp detection has shown significant promise in
reducing missed diagnoses, particularly for flat or subtle lesions. Furthermore, AI
algorithms excel in lesion characterization, aiding in clinical decision-making and
reducing the need for unnecessary biopsies. A major advantage of AI lies in its
ability to mitigate variability in diagnostic performance, supporting less experienced
endoscopists and contributing to standardized care across diverse clinical settings.
Despite these advancements, challenges persist, including the need for large-scale
validation of AI models, ensuring their generalizability across populations, addressing
*Corresponding author: ethical and privacy concerns, and mitigating the risk of over-reliance on AI at the
Usama Khan expense of human expertise. This perspective explores the transformative potential
(khanusama588558@gmail.com) of AI in endoscopy, emphasizing the importance of thoughtful implementation,
Citation: Khan U. The ethical considerations, and continued innovation to optimize its integration into
transformative role of artificial clinical practice.
intelligence in endoscopy. INNOSC
Theranostics and Pharmacological
Sciences. 2025;8(1):71-74.
doi: 10.36922/itps.5143 Keywords: Artificial intelligence; Endoscopy; Gastrointestinal diagnostics; Polyp
detection; Colorectal cancer; Lesion characterization; Health-care technology
Received: October 14, 2024
Revised: November 02, 2024
Accepted: November 18, 2024 1. Introduction
Published online: December 30,
2024 The integration of artificial intelligence (AI) into healthcare is revolutionizing various
Copyright: © 2024 Author(s). medical fields, with endoscopy emerging as one of the most promising areas for its
This is an Open-Access article application. Endoscopic procedures play a key role in the diagnosis and management
distributed under the terms of the of gastrointestinal diseases, including colorectal cancer, inflammatory bowel disease,
Creative Commons Attribution
License, permitting distribution, and gastrointestinal bleeding. Despite advancements in endoscopic technology and
and reproduction in any medium, techniques, these procedures remain heavily dependent on the skill, experience, and
provided the original work is attentiveness of endoscopists. Challenges such as variability in diagnostic performance,
properly cited.
missed diagnoses, and inefficiencies in care delivery persist, highlighting the need for
Publisher’s Note: AccScience innovative solutions.
Publishing remains neutral with
regard to jurisdictional claims in AI offers a compelling solution to these challenges by augmenting human capabilities
published maps and institutional
affiliations through advanced computational techniques, particularly machine learning and deep
learning. This perspective explores the transformative potential of AI in endoscopy,

Volume 8 Issue 1 (2025) 71 doi: 10.36922/itps.5143