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An efficient glaucoma diagnosis with explainable AI using ResNet152 and Swin Transformer attention-based fusion
Journal article reports an AI method for glaucoma diagnosis combining ResNet152 and Swin Transformer attention-based fusion. Publisher listed as Elsevier BV and publication date 2026-12-01.
Categories: science-and-space, technology, public-health
Generated scores
Scores are based on the cited reporting and use a 1–10 scale. Read the methodology.
- Confidence
- 6/10
- Geographic reach
- 1/10
- Global importance
- 3/10
- Impact magnitude
- 3/10
- Positivity
- 6/10
- Urgency
- 1/10
Why it matters
The paper describes a new AI diagnostic approach for glaucoma that could affect clinical decision tools.

