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The Ophthalmologist / Issues / 2025 / October / Large Language Models and Foundation Models in Ophthalmology / Notecards
Research & Innovations Insights Technology

Large Language Models and Foundation Models in Ophthalmology

How can we democratize ophthalmic care with AI?

By Andrzej Grzybowski, Kai Jin 10/6/2025 4 min read

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article Full Article subject Summary summarize Notecard

1. AI is transforming ophthalmology with advanced models.

2. Foundation models enable multi-tasking in diagnosis and reporting.

3. Data diversity presents a challenge for equitable AI deployment.

4. Clinician trust is essential for accepting AI tools.

5. Collaboration among diverse professionals is key to effective AI development.

6. The goal is to achieve AI equity for all patients, regardless of resource availability.

7. Human oversight should be integrated with AI workflows to ensure safety.

About the Author(s)

Andrzej Grzybowski

Andrzej Grzybowski is a professor of ophthalmology at the University of Warmia and Mazury, Olsztyn, Poland, and the Head of Institute for Research in Ophthalmology at the Foundation for Ophthalmology Development, Poznan, Poland. He is EVER Past-President, Treasurer of the European Academy of Ophthalmology, and a member of the Academia Europea. He is co-founder and leader of the International AI in Ophthalmology Society (https://iaisoc.com/) and has written a book on the subject that can be found here: https://link.springer.com/book/10.1007/978-3-030-78601-4.

More Articles by Andrzej Grzybowski

Kai Jin

Kai Jin MD, PhD is a clinician-scientist and research fellow at the Eye Center, Second Affiliated Hospital, Zhejiang University School of Medicine. His work focuses on ophthalmology, artificial intelligence, and precision medicine. He has led multiple national research grants and published over 100 SCI papers in journals including NPJ Digital Medicine, IEEE TMI, and JAMA Ophthalmology. He serves as Associate Editor for NPJ Digital Medicine and BMJ Open Ophthalmology, and as reviewer for The BMJ and Lancet Digital Health. He is a member of ARVO and was listed among Elsevier–Stanford’s Top 2% Global Scientists in 2024.  

More Articles by Kai Jin

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