Artificial intelligence derived grading of mustard gas induced corneal injury and opacity

Artificial intelligence derived grading of mustard gas induced corneal injury and opacity

Abstract Artificial intelligence (AI) has emerged as a transformative tool in ophthalmology for disease diagnosis and prognosis. However, use of AI for assessing corneal damage due to chemical injury in live rabbits remains lacking. This study aimed to develop an AI-derived clinical classification m...

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Bibliographic Details
Main Authors: Rajnish Kumar, Devansh M. Sinha, Nishant R. Sinha, Ratnakar Tripathi, Nathan Hesemann, Suneel Gupta, Anil Tiwari, Rajiv R. Mohan
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Cornea
Fibrosis
Sulfur mustard
Pathology
Online Access:https://doi.org/10.1038/s41598-025-08042-x
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https://doi.org/10.1038/s41598-025-08042-x

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