Latest AI and machine learning research in glaucoma for healthcare professionals.
Automated diagnosis based on color fundus photography is essential for large-scale glaucoma screenin...
Valid segmentation of the optic disc (OD) and optic cup (OC) from fundus photographs is essential fo...
For accurate glaucoma diagnosis and monitoring, reliable retinal layer segmentation in OCT images is...
We present CataractSAM-2, a domain-adapted extension of Meta's Segment Anything Model 2, designed fo...
Purpose: To evaluate the performance of machine learning models for automated glaucoma detection usi...
Accurate diagnosis of glaucoma is challenging, as early-stage changes are subtle and often lack clea...
We propose glaucoma lesion evaluation and analysis with multimodal imaging (GLEAM), the first public...
Early screening for glaucoma and diabetic retinopathy (DR) is critical to prevent irreversible visio...
Background: The visual field (VF) test results of many eyes with glaucoma progress despite treatment...
Objective To characterize the clinical and administrative concerns communicated through secure ophth...
Estimating uncertainty in deep learning models is critical for reliable decision-making in high-stak...
Glaucoma is a top cause of irreversible blindness globally, making early detection and longitudinal ...
Electric field (EF) stimulation is an emerging neuromodulatory strategy for promoting the repair and...
Abstract Purpose: Glaucoma, a leading cause of irreversible vision loss, often remains undiagnosed d...
ImportanceVision-language models (VLMs) enable generalist multimodal reasoning, but their ability to...
Test-Time Adaptation (TTA) has emerged as a promising solution for adapting a source model to unse...
Large language models (LLMs) can simulate clinical reasoning based on natural language prompts, bu...
Glaucoma is a leading cause of irreversible blindness, but early detection can significantly impro...
The integration of deep learning-based glaucoma detection with large language models (LLMs) presen...
PURPOSE: Standard deep learning (DL) models often suffer significant performance degradation on out-...
Glaucoma remains a leading cause of irreversible blindness worldwide, with early detection crucial f...