HIGHLIGHTS
- who: Leonardo Seidi Shigueoka et al. from the Glaucoma Service, Department of Ophthalmology, University of Campinas, Campinas, São Paulo, Brazil have published the article: Automated algorithms combining structure and function outperform general ophthalmologists in diagnosing glaucoma, in the Journal: PLOS ONE | https://doi.org/10.1371/journal.pone [0207784]. December 5, 2018 of April/21,/2018
- what: This study was designed to test the ability of MLCs using OCT and SAP parameters to discriminate between healthy and glaucomatous individuals, and to compare it to the diagnostic ability of the CSFI, general ophthalmologists and glaucoma . . .
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