Results 51 to 60 of about 6,924,662 (223)

EyeDiff: text-to-image diffusion model improves rare eye disease diagnosis [PDF]

open access: yesarXiv
The rising prevalence of vision-threatening retinal diseases poses a significant burden on the global healthcare systems. Deep learning (DL) offers a promising solution for automatic disease screening but demands substantial data. Collecting and labeling large volumes of ophthalmic images across various modalities encounters several real-world ...
arxiv  

Stability studies on aqueous and oily ophthalmic solutions of diclofenac.

open access: yesYakugaku zasshi : Journal of the Pharmaceutical Society of Japan, 2009
Various aqueous and oily diclofenac ophthalmic formulations were subjected to accelerated and long term stability studies. Degradation of diclofenac was found to follow first-order kinetics.
M. Ahuja   +3 more
semanticscholar   +1 more source

EyeFound: A Multimodal Generalist Foundation Model for Ophthalmic Imaging [PDF]

open access: yesarXiv
Artificial intelligence (AI) is vital in ophthalmology, tackling tasks like diagnosis, classification, and visual question answering (VQA). However, existing AI models in this domain often require extensive annotation and are task-specific, limiting their clinical utility. While recent developments have brought about foundation models for ophthalmology,
arxiv  

Dual-Modality Computational Ophthalmic Imaging with Deep Learning and Coaxial Optical Design [PDF]

open access: yesarXiv
The growing burden of myopia and retinal diseases necessitates more accessible and efficient eye screening solutions. This study presents a compact, dual-function optical device that integrates fundus photography and refractive error detection into a unified platform.
arxiv  

Influence of Ophthalmic Solutions on Corneal Contour [PDF]

open access: green, 1978
Patricia M Kiely, Leo G. Carney
openalex   +1 more source

Home - About - Disclaimer - Privacy