4 papers
Can large language models unlock discrete data in ophthalmic diagnostic reports?
Umair A. Zaidi, An-Lun Wu, Wei-Chun Lin +2
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. Meth…
Deep Learning-assisted AMD Staging based on OCT and OCT Angiography
Yukun Guo, Tristan T. Hormel, An-Lun Wu +4
To develop and evaluate deep learning models for automated grading of age-related macular degeneration (AMD) severity using optical coherence tomography (OCT) and OCT angiography (…
Robust Detection of Retinal Neovascularization in Widefield Optical Coherence Tomography
Jinyi Hao, Jie Wang, Liqin Gao +8
Retinal neovascularization (RNV) is a vision threatening development in diabetic retinopathy (DR). Vision loss associated with RNV is preventable with timely intervention, making R…
AI-derived layer-specific OCT biomarkers for classification of geographic atrophy
Yukun Guo, An-Lun Wu, Tristan T. Hormel +5
Geographic atrophy (GA) is a key biomarker of dry age-related macular degeneration (AMD) traditionally identified through color fundus photography. Hyper-transmission defects (hype…