Current applications of machine learning in the screening and diagnosis of glaucoma: a systematic review and Meta-analysis | Zendy

Patrick Murtagh | Zendy

Open Access

Current applications of machine learning in the screening and diagnosis of glaucoma: a systematic review and Meta-analysis

Author(s) -

Patrick Murtagh

Publication year - 2019

Publication title -

international journal of ophthalmology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.634

H-Index - 29

eISSN - 2227-4898

pISSN - 2222-3959

DOI - 10.18240/ijo.2020.01.22

Subject(s) - medicine , meta analysis , receiver operating characteristic , cohort , diagnostic accuracy , medline , cohort study , glaucoma , mean difference , modalities , medical physics , optical coherence tomography , artificial intelligence , optometry , machine learning , ophthalmology , radiology , confidence interval , computer science , social science , sociology , political science , law

To compare the effectiveness of two well described machine learning modalities, ocular coherence tomography (OCT) and fundal photography, in terms of diagnostic accuracy in the screening and diagnosis of glaucoma.

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