Racial Disparities in Glaucoma Vision Outcomes and Eye Care Utilization: An IRIS Registry Analysis
Elizabeth C. Ciociola(Johns Hopkins University), Anja Lorch(Massachusetts Eye and Ear Infirmary), Tobias Elze, Nazlee Zebardast(Massachusetts Eye and Ear Infirmary), Sayuri Sekimitsu(Massachusetts Eye and Ear Infirmary), Joan W. Miller(Massachusetts Eye and Ear Infirmary), Julia A. Haller(Wills Eye Hospital), Cecilia S. Lee(University of Washington), Suzann Pershing, Sophie Smith(Tufts University), Flora Lum(American Academy of Ophthalmology), Aaron Lee(Imperial College London), Leslie Hyman(Stony Brook University Hospital)
Cited by 20
Related Papers
Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
|Nature Medicine|2020|1.2k
Deep Learning Is Effective for Classifying Normal versus Age-Related Macular Degeneration OCT Images
|Ophthalmology Retina|2017|669
Guidelines for clinical trial protocols for interventions involving artificial intelligence: the SPIRIT-AI extension
|Nature Medicine|2020|665
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
|Nature Medicine|2022|636
Genetic variants near <i>TIMP3</i> and high-density lipoprotein–associated loci influence susceptibility to age-related macular degeneration
|Proceedings of the National Academy of Sciences|2010|518