Artificial intelligence for glaucoma: state of the art and future perspectives
Rafael Correia Barão,
Ruben Hemelings,
Luís Abegão Pinto
et al.
Abstract:Purpose of review
To address the current role of artificial intelligence (AI) in the field of glaucoma.
Recent findings
Current deep learning (DL) models concerning glaucoma diagnosis have shown consistently improving diagnostic capabilities, primarily based on color fundus photography and optical coherence tomography, but also with multimodal strategies. Recent models have also suggested that AI may be helpful in detecting and estimating visual field p… Show more
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