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This review examines vibe coding through an ophthalmology-specific lens, identifying where it adds value and how it can be used responsibly, and how it can be used responsibly while preserving safety and accountability.
A cornea-specialized large language model enhanced with RAG improved diagnostic accuracy in complex corneal cases, particularly among clinicians with lower baseline performance.
This work introduces a scalable, resource-efficient, and high-performance information extraction pipeline that leverages large language models (LLMs) to address challenges of free-text clinical records and develops a multi-dimensional assessment for deployment in data extraction tasks.
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