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Review | Open Access

Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives

Chongyang She ( )Yong Tao
Department of Ophthalmology, Beijing Chao‐Yang Hospital, Capital Medical University, Beijing, China
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Abstract

Artificial intelligence (AI) is revolutionizing ophthalmology by providing innovative solutions for disease screening, diagnosis, personalized treatment, and the delivery of global healthcare services. This review explores the current state of AI research and applications in the field of ophthalmology, and the applications of telemedicine as well as clinical trials demonstrating AI's utility in reducing diagnostic time and improving treatment outcomes. It also analyzes the challenges faced in practical applications, including economic constraints, data privacy issues, and regulatory hurdles. The review highlights the future directions of AI integration, including highly accurate AI diagnosis, the formulation of personalized treatment plans, AI‐assisted surgical treatment, wearable medical devices, and telemedicine connectivity technologies. In addition, collaborative efforts among academia, the industry, and policymakers are crucial for overcoming these obstacles and fully unleashing the potential of AI in achieving equitable, efficient, and personalized ophthalmic healthcare services.

Graphical Abstract

Current research of artificial intelligence (AI) in ophthalmology.

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Health Care Science
Pages 249-259

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Cite this article:
She C, Tao Y. Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives. Health Care Science, 2026, 5(3): 249-259. https://doi.org/10.1002/hcs2.70052

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Received: 06 March 2025
Revised: 30 July 2025
Accepted: 29 September 2025
Published: 06 March 2026
© 2026 The Author(s). Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.