Novel automated non-invasive detection of ocular surface squamous neoplasia using artificial intelligence

doi:10.5662/wjm.v14.i2.92267

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World Journal of Methodology

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World J Methodol. Jun 20, 2024; 14(2): 92267
Published online Jun 20, 2024. doi: 10.5662/wjm.v14.i2.92267

Novel automated non-invasive detection of ocular surface squamous neoplasia using artificial intelligence

Sony Sinha, Prasanna Venkatesh Ramesh, Prateek Nishant, Arvind Kumar Morya, Ripunjay Prasad

Sony Sinha, Department of Ophthalmology–Vitreo Retina, Neuro Ophthalmology and Oculoplasty, All India Institute of Medical Sciences, Patna 801507, India

Prasanna Venkatesh Ramesh, Department of Glaucoma and Research, Mahathma Eye Hospital Private Limited, Trichy 620017, India

Prateek Nishant, Department of Ophthalmology, ESIC Medical College, Patna 801113, India

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

Ripunjay Prasad, Department of Ophthalmology, RP Eye Institute, Delhi 110001, India

Author contributions: Sinha S, Ramesh PV and Nishant P analyzed data and wrote the manuscript; Sinha S and Nishant P performed research; Nishant P and Prasad R revised the manuscript; Morya AK designed the research.

Conflict-of-interest statement: The authors declare there are no conflicts of interest.

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, MBBS, MNAMS, Additional Professor, Department of Ophthalmology, All India Institute of Medical Sciences, Bibi Nagar, Hyderabad 508126, India. bulbul.morya@gmail.com

Received: January 20, 2024
Revised: February 19, 2024
Accepted: April 12, 2024
Published online: June 20, 2024
Processing time: 145 Days and 17.6 Hours

Core Tip

Core Tip: This is a unique comprehensive review written on a common eye tumour-ocular surface squamous neoplasia (OSSN) and the role of artificial intelligence (AI) in the early diagnosis and management of this ocular condition. This write-up also covers the various intricacies involved in developing AI algorithms based on digital and histopathological images of OSSN.