To evaluate the clinical applicability of three generic Vision-Large-Language Models (VLLMs) — OpenAI’s GPT-4omni, GPT-4V(ision) and Google’s Gemini in detecting and diagnosing inherited retinal ...

Retinal degeneration comprises a diverse group of progressive disorders leading to visual impairment and ultimately blindness. These include inherited retinal dystrophies (IRDs), diabetic retinopathy ...

AI-assisted retinal imaging is emerging as a promising tool to support retinal disease detection and improve screening ...

Often called "the window to the soul," the eyes may also offer clues about something less poetic but just as important: the ...

Optical coherence tomography (OCT) is an imaging technology that can non-invasively generate cross-sectional images of tissue. OCT is widely used in eye clinics to diagnose and manage retinal diseases ...

An AI segmentation system was able to identify changes in retinal segmented features based on optical coherence tomography (OCT) images. Diagnosing and monitoring retinal diseases is done through OCT, ...

Mass Eye and Ear physician-researchers show that retinal imaging can help predict a person’s risk of developing ocular, neuropsychiatric, cardiac, metabolic, and pulmonary diseases. The team also ...

Often called "the window to the soul," the eyes may also offer clues about something less poetic but just as important: the ...

Researchers from a joint Skoltech-University of Sharjah laboratory and AIRI Institute have automated the analysis of retina images used to diagnose diabetic retinopathy. This refers to retinal damage ...

Researchers have identified new drug targets for therapies that could benefit patients with different forms of retinitis pigmentosa and other inherited retinal diseases. Using advanced proteomics ...

Duke Health names ophthalmology chair SriniVas Sadda, MD, effective Nov. 10, bringing expertise from UCLA and Johns Hopkins.

The Kidney Intelligent Diagnosis System (KIDS) uses retinal images for noninvasive CKD diagnosis, reducing the need for renal biopsies. The model achieved high accuracy, with an AUC of 0.839-0.993 for ...