Reference Standard for Validation of Age-Related Macular Degeneration Screening Algorithms
Abstract
Details
- Title: Subtitle
- Reference Standard for Validation of Age-Related Macular Degeneration Screening Algorithms
- Creators
- Amitha Domalpally - University of Wisconsin–MadisonEmily Y Chew - National Eye InstituteMalvina B EydelmanTiarnán D L Keenan - National Institutes of HealthPearse A Keane - Moorfields Eye Hospital NHS Foundation TrustAaron Y Lee - Washington University in St. LouisCecilia S Lee - Washington University in St. LouisEleonora M Lad - Duke Medical CenterJennifer I Lim - University of Illinois ChicagoAnat Lowenstein - Tel Aviv Sourasky Medical CenterUrsula Schmidt-Erfurth - Medical University of ViennaMichael D Abramoff - University of IowaCollaborative Community for Ophthalmic Imaging Executive Committee and the Working Group for Artificial Intelligence in Age-related Macular Degeneration
- Resource Type
- Journal article
- Publication Details
- Ophthalmology (Rochester, Minn.), Vol.133(7), pp.865-873
- DOI
- 10.1016/j.ophtha.2026.04.013
- PMID
- 41999903
- NLM abbreviation
- Ophthalmology
- ISSN
- 1549-4713
- eISSN
- 1549-4713
- Publisher
- Elsevier; NEW YORK
- Grant note
- Novartis Ophthalmic Innovation Program at Stanford National Eye Institute: P30-EY026877 Research to Prevent Blindness, Inc. Digital Diagnostics, Inc. American Medical Association, Healthcare AI Coalition Intramural Research Program of the National Institutes of Health (NIH) UK Research & Innovation Future Leaders Fellowship: MR/T019050/1 Rubin Foundation Charitable Trust
This research was supported in part by the Intramural Research Program of the National Institutes of Health (NIH). The contributions of the NIH authors were made as part of their official duties as NIH federal employees, are in compliance with agency policy requirements, and are considered Works of the United States Government. However, the findings and conclusions presented in this article are those of the authors and do not necessarily reflect the views of the NIH or the United Staes Department of Health and Human Services. Dr Keane is supported by a UK Research & Innovation Future Leaders Fellowship (grant no.: MR/T019050/1) and The Rubin Foundation Charitable Trust. Dr Domalpally is supported in part by an unrestricted grant from Research to Prevent Blindness, Inc., to the UW-Madison Department of Ophthalmology and Visual Sciences.r J.I.L.: Financial support - Eyenuk (to University of Illinois at Chicago) U.S.-E.: Consultant - Alcon, Allergan, Bayer HealthCare, Novartis; Advisory board - Alcon, Novartis; Financial support - Bayer HealthCare; Lecturer - Bayer HealthCare, Novartis M.B.E.: Verana Health; Patent - Smartphone-enabled vision testing; Financial support - Byers Eye Institute, Ophthalmic Innovation Program at Stanford, the National Eye Institute (grant no.: P30-EY026877) , Research to Prevent Blindness, Inc. M.D.A.: Patent - University of Iowa, Digital Diagnostics, Inc.; Consultant, Equity owner - Digital Diagnostics, Inc.; Leadership or fiduciary role - Digital Diagnostics, Inc., Collaborative Community on Ophthalmic Imaging, American Academy of Ophthalmology AI Committee, American Medical Association, Healthcare AI Coalition This research was supported in part by the Intramural Research Program of the National Institutes of Health (NIH) . The contributions of the NIH authors were made as part of their official duties as NIH federal employees, are in compliance with agency policy requirements, and are considered Works of the United States Government. However, the findings and conclusions presented in this article are those of the authors and do not necessarily reflect the views of the NIH or the United Staes Department of Health and Human Services. Dr Keane is supported by a UK Research & Innovation Future Leaders Fellowship (grant no.: MR/T019050/1) and The Rubin Foundation Charitable Trust. Dr Domalpally is supported in part by an unrestricted grant from Research to Prevent Blindness, Inc., to the UW-Madison Department of Ophthalmology and Visual Sciences.
- Language
- English
- Electronic publication date
- 04/16/2026
- Date published
- 07/2026
- Academic Unit
- Electrical and Computer Engineering; Fraternal Order of Eagles Diabetes Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9985153461602771