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Year : 2026 | Volume : 16 | Issue : 01 | Page :

Sankhajyoti Saha,

,

Assistant Professor, Bhawanipur College of Creative Arts and & Applied Sciences, Kolkata, India
Assistant Professor, 1Bhawanipur College of Creative Arts and & Applied Sciences, Kolkata, India

Abstract

The diagnostic accuracy of artificial intelligence (AI) algorithms for glaucoma and diabetic retinopathy screening is on par with or higher than that of skilled doctors. Their acceptance has accelerated due to regulatory clearances, practical implementation in telehealth networks, and growing proof of cost-effectiveness. However, this very success raises a question that the field has been reluctant to address: are we unintentionally undermining the clinical reasoning abilities of the upcoming generation of ophthalmologists as AI systems take over tasks that were once the foundation of ophthalmic training, such as grading fundus photos, interpreting optical coherence tomography, and identifying subtle disc changes? To maintain independent clinical judgment in an AI-augmented era, this viewpoint looks at the growing evidence on automation bias and diagnostic deskilling in medicine, considers how these phenomena may specifically manifest in ophthalmology, and suggests that the field should purposefully redesign residency curricula.

Keywords: Artificial intelligence, ophthalmology, diabetic retinopathy screening, glaucoma detection, automation bias.

[This article belongs to Research and Reviews: A Journal of Health Professions ]

How to cite this article:
Sankhajyoti Saha. The Integration of Artificial Intelligence in Ophthalmology: Augmenting Clinical Decision or Clinical Dependency?. Research and Reviews: A Journal of Health Professions. 2026; 16(01):-.

How to cite this URL:
Sankhajyoti Saha. The Integration of Artificial Intelligence in Ophthalmology: Augmenting Clinical Decision or Clinical Dependency?. Research and Reviews: A Journal of Health Professions. 2026; 16(01):-. Available from: https://journals.stmjournals.com/rrjohp/article=2026/view=242254

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Regular Issue Subscription Review Article

Research and Reviews: A Journal of Health Professions

ISSN: 2277-6192

Volume	16
Issue	01
Received	28/04/2026
Accepted	30/04/2026
Published	30/04/2026
Publication Time	2 Days

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