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For: González-Gonzalo C, Thee EF, Klaver CCW, Lee AY, Schlingemann RO, Tufail A, Verbraak F, Sánchez CI. Trustworthy AI: Closing the gap between development and integration of AI systems in ophthalmic practice. Prog Retin Eye Res 2021;:101034. [PMID: 34902546 DOI: 10.1016/j.preteyeres.2021.101034] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Hogg HDJ, Brittain K, Teare D, Talks J, Balaskas K, Keane P, Maniatopoulos G. Safety and efficacy of an artificial intelligence-enabled decision tool for treatment decisions in neovascular age-related macular degeneration and an exploration of clinical pathway integration and implementation: protocol for a multi-methods validation study. BMJ Open 2023;13:e069443. [PMID: 36725098 DOI: 10.1136/bmjopen-2022-069443] [Reference Citation Analysis]
2 Redd TK, Al-Khaled T, Paul Chan RV, Campbell JP; American Academy of Ophthalmology Task Force on Academic Global Ophthalmology, American Academy of Ophthalmology Task Force on Academic Global Ophthalmology. Technology and Innovation in Global Ophthalmology: The Past, the Potential, and a Path Forward. Int Ophthalmol Clin 2023;63:25-32. [PMID: 36598831 DOI: 10.1097/IIO.0000000000000450] [Reference Citation Analysis]
3 Schwartz R, Khalid H, Liakopoulos S, Ouyang Y, de Vente C, González-gonzalo C, Lee AY, Guymer R, Chew EY, Egan C, Wu Z, Kumar H, Farrington J, Müller PL, Sánchez CI, Tufail A. A Deep Learning Framework for the Detection and Quantification of Reticular Pseudodrusen and Drusen on Optical Coherence Tomography. Trans Vis Sci Tech 2022;11:3. [DOI: 10.1167/tvst.11.12.3] [Reference Citation Analysis]
4 Constantin A, Atkinson M, Bernabeu M, Buckmaster F, Dhillon B, Mctrusty A, Strang N, Williams R. “Quo Vadis” Optometry: Understanding the Perspectives of Optometrists and Ophthalmologists in Scotland (Preprint).. [DOI: 10.2196/preprints.40887] [Reference Citation Analysis]
5 Boreiko V, Ilanchezian I, Seçkin Ayhan M, Müller S, Koch LM, Faber H, Berens P, Hein M. Visual explanations for the detection of diabetic retinopathy from retinal fundus images.. [DOI: 10.1101/2022.07.06.22276633] [Reference Citation Analysis]
6 Boreiko V, Ilanchezian I, Ayhan MS, Müller S, Koch LM, Faber H, Berens P, Hein M. Visual Explanations for the Detection of Diabetic Retinopathy from Retinal Fundus Images. Lecture Notes in Computer Science 2022. [DOI: 10.1007/978-3-031-16434-7_52] [Reference Citation Analysis]