Can large language models unlock discrete data in ophthalmic diagnostic reports?
Objective: To assess the accuracy and efficiency of a large language model (LLM) using two prompt strategies to extract structured data from ophthalmic diagnostic PDF reports. Methods: Twenty deidentified reports across four types (Visual Field, OCT Glaucoma Overview, OCT retinal nerve fiber layer Single Exam, and OCT...
Umair A. Zaidi, An-Lun Wu, Wei-Chun Lin et al.
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