Browse Articles

Analyzing relationships and distribution between age, sex, and eye disease at IGMCH eye OPD

Sareen et al. | Feb 20, 2025

Analyzing relationships and distribution between age, sex, and eye disease at IGMCH eye OPD
Image credit: Amanda Dalbjörn

This study analyzed patient demographics in the ophthalmology department at Indira Gandhi Medical College and Hospital (IGMCH) to assess relationships between age, sex, and eye conditions. While the overall sex distribution was equal, individual conditions varied, with cataracts and retinal disorders more common in males and conjunctival conditions slightly more prevalent in females, though none were statistically significant (p > 0.05) except for cataract patients aged 50–89 (p < 0.001). Understanding these trends can help medical facilities allocate resources more effectively for improved patient care.

Read More...

Retinal biomarkers for the detection of neurological disease using deep learning

Kim et al. | Sep 04, 2026

Retinal biomarkers for the detection of neurological disease using deep learning

The authors looked at whether retinal features, specifically lens clarity, optic nerve cupping, and hyperreflective foci, can serve as biomarkers for neuro-ophthalmological diseases, which share pathological mechanisms with neurodegeneration and may indicate broader neurological risk. Using multimodal clinical data and machine learning, they investigated the potential of retinal imaging as a complementary diagnostic tool for more accurate and accessible detection of neurological disorders.

Read More...