What does this research mean for the field?

Foundation models in ophthalmology offer significant advantages over traditional convolutional neural networks by reducing reliance on labeled data and enabling multimodal fusion, though prospective clinical validation is still required to address training data homogeneity. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

This review aims to analyze the construction and application of foundation models in diagnosing ophthalmic diseases.

June 7, 2026Eye & ENT ResearchOpen Access

Foundation Models in Diagnosis of Ophthalmic Diseases: Construction and Application

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This review aims to analyze the construction and application of foundation models in diagnosing ophthalmic diseases.
Systematic search of PubMed and IEEE databases to select five foundation models for ophthalmology.
Analysis of core architectural design strategies and diagnostic performance of chosen models.
Discussion on technical approaches for improving generalization and explainability.
Foundation models expand diagnostic coverage from common ophthalmic diseases to rare and systemic diseases.
Challenges include homogeneity in training data leading to unstable performance.
More prospective trials are necessary to validate efficacy in real clinical settings.

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Implication

This review analyzes foundation models' diagnostic performance in ophthalmology, suggesting enhanced generalization and explainability benefits.

Cite This Study

Huang et al. (2026) studied this question.

synapsesocial.com/papers/6a250baa7def13d035e1bb04 https://doi.org/10.1002/eer3.70041

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Implication

This review analyzes foundation models' diagnostic performance in ophthalmology, suggesting enhanced generalization and explainability benefits.

Foundation Models in Diagnosis of Ophthalmic Diseases: Construction and Application

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Discussion

Implication

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Foundation Models in Diagnosis of Ophthalmic Diseases: Construction and Application

Key Points

Discussion

Implication

Cite This Study

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