Work

Predicting Glaucoma Development With Longitudinal Deep Learning Predictions From Fundus Photographs

Year: 2021

Type: article

Study design: Observational Study

Source: American Journal of Ophthalmology

DOI: 10.1016/j.ajo.2020.12.031

Authors: Terry Lee, Alessandro A. Jammal, Eduardo B. Mariottoni, Felipe A. Medeiros

Institutions: Duke University, Duke Medical Center

Language: English

Topic: Glaucoma and retinal disorders

Subfield: Ophthalmology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Google, Carl Zeiss Meditec AG, Heidelberg Engineering, National Institutes of Health, National Eye Institute

Awards: Objective Quantification of Neural Damage for Screening, Diagnosis and Monitoring of Glaucoma with Fundus Photographs, G4571277646, G4959032128, The BCI (Brain Computer Interface) Glaucoma Study: Objective Home-Based Detection of Progressive Visual Function Loss in Glaucoma

OpenAlex ID: W3118701753

FWCI: 7.462

Cites: 35

Cited by: 58

Related to: 10