Advancing Glaucoma Care: Comparing Vision Language Models and Ophthalmology Foundation Models

Authors

  • Erum Habib Dow University of Health Sciences Author

DOI:

https://doi.org/10.63501/dbw8bs33

Keywords:

Glaucoma, Vision Language Models , Ophthalmology Foundation Models , Artificial Intelligence

References

References

1. Glaucoma. In: Cleveland Clinic [Internet]. 2024. Available from: https://my.clevelandclinic.org/health/diseases/4212-glaucoma

2. Murray. Glaucoma. In: WebMD [Internet]. 2025. Available from: https://www.webmd.com/eye-health/glaucoma-eyes

3. Sheng B, Chen X, Li T, Ma T, Yang Y, Bi L, et al. An overview of artificial intelligence in diabetic retinopathy and other ocular diseases. Front Public Health [Internet]. 2022 Oct 28 [cited 2025 Nov 22];10. Available from: https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2022.971943/full

4. Jalili J, Huynh J, Walker E, Chuter BG, Bowd C, Heinke A, et al. Performance of General-Purpose Vision Language Models and Ophthalmology Foundation Models in Glaucoma Detection and Function Prediction. Transl Vis Sci Technol. 2025 Nov 19;14(11):31.

5. Ryu JS, Kang H, Chu Y, Yang S. Vision-language foundation models for medical imaging: a review of current practices and innovations. Biomed Eng Lett. 2025 Sept 1;15(5):809–30.

6. Mittermaier M, Raza MM, Kvedar JC. Bias in AI-based models for medical applications: challenges and mitigation strategies. Npj Digit Med. 2023 June 14;6(1):113.

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Published

2025-12-20

Issue

Section

⁠Letters to the Editor

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