SALT LAKE CITY — Multimodal AI models may be useful to predict glaucomatous status of eyes, according to a poster presentation at the Association for Research in Vision and Ophthalmology meeting.
Andy Ng and colleagues created an AI model that combined image and parameter data to classify eyes of 652 participants as glaucomatous, glaucoma suspected or healthy control. They defined glaucomatous eyes as those with glaucomatous disc and visual field and glaucoma suspected eyes as those with ocular hypertension or suspicious disc with additional risk factors including high IOP, diabetes or