Entering the Exciting Era of Artificial Intelligence and Big Data in Ophthalmology
Author:
Funder
National Institutes of Health
Publisher
Elsevier BV
Reference16 articles.
1. Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices;Abràmoff;NPJ Digit Med,2018
2. Artificial intelligence detection of diabetic retinopathy: subgroup comparison of the EyeArt system with ophthalmologists’ dilated examinations;Lim;Ophthalmol Sci,2023
3. Impact of artificial intelligence assessment of diabetic retinopathy on referral service uptake in a low-resource setting: the RAIDERS randomized trial;Mathenge;Ophthalmol Sci,2022
4. Multicenter, head-to-head, real-world validation study of seven automated artificial intelligence diabetic retinopathy screening systems;Lee;Diabetes Care,2021
5. SynthEye: investigating the impact of synthetic data on artificial intelligence-assisted gene diagnosis of inherited retinal disease;Veturi;Ophthalmol Sci,2023
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