Role of artificial intelligence-based ocular biomarkers in hepatobiliary diseases: A scoping review

doi:10.4254/wjh.v17.i8.109801

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Aug 27, 2025 (publication date) through Aug 27, 2025

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World Journal of Hepatology

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1948-5182

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Hepatol. Aug 27, 2025; 17(8): 109801
Published online Aug 27, 2025. doi: 10.4254/wjh.v17.i8.109801

Role of artificial intelligence-based ocular biomarkers in hepatobiliary diseases: A scoping review

Uday Pratap Singh Parmar, Arvind Kumar Morya, Parul C Gupta, Atul Arora, Nipun Verma

Uday Pratap Singh Parmar, Department of Ophthalmology, Government Medical College and Hospital, Sector 32, Chandigarh 160047, India

Arvind Kumar Morya, Department of Ophthalmology, All India Institute of Medical Sciences, Hyderabad 508126, Telangana, India

Parul C Gupta, Department of Ophthalmology, Post Graduate Institute of Medical Education and Research, Chandigarh 160012, Punjab, India

Atul Arora, Department of Teleophthalmology, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, Punjab, India

Nipun Verma, Department of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh 160012, India

Author contributions: Morya AK and Gupta PC conceptualized the research topic; Parmar UPS, Arora A and Morya AK wrote the manuscript; Gupta PC and Verma N edited the manuscript; final submission by Morya AK.

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: Arvind Kumar Morya, MD, Professor, Senior Researcher, Department of Ophthalmology, All India Institute of Medical Sciences, Bibi Nagar, Hyderabad 508126, Telangana, India. bulbul.morya@gmail.com

Received: May 22, 2025
Revised: June 7, 2025
Accepted: July 24, 2025
Published online: August 27, 2025
Processing time: 97 Days and 19.9 Hours

Core Tip

Core Tip: Artificial intelligence has taken the world by storm. It has various applications in the screening and diagnosis of many systemic diseases. In this review article, we will discuss AI-based ocular biomarkers in hepatobiliary disorders. As per studies, there are deep learning models to detect numerous categories of hepatobiliary disorders on two common types of ocular images: slit-lamp retinal fundus images and optical coherence tomography images.