Clinical Validation of a Deep Learning-Based Software for Lumbar Bone Mineral Density and T-Score Prediction from Chest X-ray Images.

Screening for osteoporosis is crucial for early detection and prevention, yet it faces challenges due to the low accuracy of calcaneal quantitative ultrasound (QUS) and limited access to dual-energy X-ray absorptiometry (DXA) scans. Recent advances in AI offer a promising solution through opportunistic screening using existing medical images. This study aims to utilize deep learning techniques to develop a model that analyzes chest X-ray (CXR) images for osteoporosis screening.

Corneal injury by anti-misting agent in swim goggles: a case report.

Purpose: To report a case of corneal injury by swim goggle anti-misting agent.

Methods: Case report.

Results: A 47-year-old man presented with ocular injury caused by swim goggle anti-misting agent.