Multimodal AI evaluated for early glaucoma diagnosis
A multimodal artificial-intelligence system approached glaucoma specialists’ accuracy in a small, single-center retrospective study of early primary open-angle glaucoma.
A multimodal artificial-intelligence system approached glaucoma specialists’ accuracy in a small, single-center retrospective study of early primary open-angle glaucoma.
In public-benchmark and retrospective evaluations, HalluciGuard-Eye reduced hallucinations in ophthalmic multimodal AI and maintained diabetic-retinopathy classification performance, without establishing patient-outcome ...
A dual-modality artificial-intelligence model that analyzed both fundus photographs and optical coherence tomography (OCT) scans reported high performance when classifying ...
A new review in Biogerontology lays out a five-part framework for interpreting AI-derived ocular age estimates, warning that a cross-sectional ...
A deep learning model trained on nearly 30,000 retinal images predicts biological age from eye scans, revealing that smoking, diabetes, ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine