Investigators target algorithm for diagnosing glaucoma.

The article discusses a research conducted by Atalie C. Thompson and colleagues from Duke University in North Carolina which developed a segmentation-free deep learning algorithm for the diagnosis of glaucoma. Topics discussed include its comparison with the retinal nerve fiber layer value, the use of a combined analysis of clinical and risk factors in comparison to the use of artificial intelligence, and its impact on the accuracy of spectral-domain optical coherence tomography.