Publications by authors named "Laura Barna"
Clinical pearls from glaucoma clinical trials: a case-based approach.
Curr Opin Ophthalmol
November 2024
Importance: Large language models (LLMs) are revolutionizing medical diagnosis and treatment, offering unprecedented accuracy and ease surpassing conventional search engines. Their integration into medical assistance programs will become pivotal for ophthalmologists as an adjunct for practicing evidence-based medicine. Therefore, the diagnostic and treatment accuracy of LLM-generated responses compared with fellowship-trained ophthalmologists can help assess their accuracy and validate their potential utility in ophthalmic subspecialties.
View Article and Find Full Text PDFPurpose: To develop an automated deep learning system for detecting the presence and location of disc hemorrhages in optic disc photographs.
Design: Development and testing of a deep learning algorithm.
Methods: Optic disc photos (597 images with at least 1 disc hemorrhage and 1075 images without any disc hemorrhage from 1562 eyes) from 5 institutions were classified by expert graders based on the presence or absence of disc hemorrhage.
Importance: Early detection of choroidal melanoma at a small tumor size is emphasized in the literature. However, there is little published information on the specific risks of plaque-irradiated small choroidal melanoma on visual acuity and metastasis.
Objective: To analyze outcomes of plaque radiotherapy for small choroidal melanoma 3 mm in thickness or less.
Purpose: To analyze the clinical features and rate of metastatic disease in eyes with large (≥10 mm thickness) uveal melanoma.
Design: Retrospective noncomparative case series.
Participants: There were 1,311 consecutive patients.