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Publications

Artificial Intelligence


Abràmoff MD, Lavin PT, Jakubowski JR, et al. Mitigation of AI adoption bias through an improved autonomous AI system for diabetic retinal disease. NPJ Digit Med. 2024;7(1):369. Published 2024 Dec 19. doi:10.1038/s41746-024-01389-x

 

Abràmoff MD, Tarver ME, Loyo-Berrios N, et al. Considerations for addressing bias in artificial intelligence for health equity. NPJ Digit Med. 2023;6(1):170. Published 2023 Sep 12. doi:10.1038/s41746-023-00913-9


Medeiros FA, Lee T, Jammal AA, et al. The Definition of Glaucomatous Optic Neuropathy in Artificial Intelligence Research and Clinical Applications. Ophthalmol Glaucoma. 2023;6(4):432-438. doi:10.1016/j.ogla.2023.01.007


Al-Aswad LA, Ramachandran R, Schuman JS, Medeiros F, Eydelman MB; Collaborative Community for Ophthalmic Imaging Executive Committee and Glaucoma Workgroup. Artificial Intelligence for Glaucoma: Creating and Implementing Artificial Intelligence for Disease Detection and Progression. Ophthalmol Glaucoma. 2022;5(5):e16-e25. doi:10.1016/j.ogla.2022.02.010


Abràmoff MD, Cunningham B, Patel B, et al. Foundational Considerations for Artificial Intelligence Using Ophthalmic Images. Ophthalmology. 2022;129(2):e14-e32. doi:10.1016/j.ophtha.2021.08.023


Campbell JP, Chiang MF, Chen JS, et al. Artificial Intelligence for Retinopathy of Prematurity: Validation of a Vascular Severity Scale against International Expert Diagnosis. Ophthalmology. 2022;129(7):e69-e76. doi:10.1016/j.ophtha.2022.02.008


Schuman JS, De Los Angeles Ramos Cadena M, McGee R, Al-Aswad LA, Medeiros FA; Collaborative Community on Ophthalmic Imaging Executive Committee and Glaucoma Workgroup. A Case for the Use of Artificial Intelligence in Glaucoma Assessment. Ophthalmol Glaucoma. 2022;5(3):e3-e13. doi:10.1016/j.ogla.2021.12.003