New Collection: Multimodal AI in Retinal Disease: Imaging, Clinical Data, and Real‑World Endpoints

AI Foundation Model Improves Ophthalmologist Diagnostic Accuracy in Randomized Controlled Trial

Researchers developed EyeFM, a multimodal vision-language eyecare foundation model trained on 14.5 million ocular images from global dataset

WashU Medicine researchers develop AI system to interpret 3D retinal scans for faster disease diagnosis

Researchers at WashU Medicine have developed an experimental AI system that interprets 3D images of the eye's retina to help diagnose retina

From Promise to Practice: The Challenges of Implementing AI in Medical Imaging

The article discusses the evolution and current state of AI in medical imaging, tracing progress from the 2012 AlexNet breakthrough to wides

Disparate privacy risks from medical AI - Nature

Top 10 Use Cases of Computer Vision in Healthcare

Smartphone AI app detects eye surface cancers with near-specialist accuracy, study finds

A new smartphone-based AI application called Capture-Tumor can detect cancers on the surface of the eye with near-specialist accuracy. The a