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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.

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