Real-world artificial intelligence-based opportunistic screening for diabetic retinopathy in endocrinology and indigenous healthcare settings in Australia Article04 August 2021 Jane Scheetz, Dilara Koca, … Mingguang He
Comparison of early diabetic retinopathy staging in asymptomatic patients between autonomous AI-based screening and human-graded ultra-widefield colour fundus images Article07 February 2022 Aleksandra Sedova, Dorottya Hajdu, … Andreas Pollreisz
Evaluation of an AI system for the detection of diabetic retinopathy from images captured with a handheld portable fundus camera: the MAILOR AI study Article07 May 2020 T. W. Rogers, J. Gonzalez-Bueno, … N. Jaccard
Artificial intelligence-based screening for diabetic retinopathy at community hospital Article27 August 2019 Jie He, Tingyi Cao, … Jili Chen
Clinical validation of an artificial intelligence-based diabetic retinopathy screening tool for a national health system Article11 January 2021 José Tomás Arenas-Cavalli, Ignacio Abarca, … Rodrigo Donoso
Effectiveness of artificial intelligence screening in preventing vision loss from diabetes: a policy model Article27 March 2023 Roomasa Channa, Risa M. Wolf, … Harold P. Lehmann
Recently updated global diabetic retinopathy screening guidelines: commonalities, differences, and future possibilities Article11 May 2021 Taraprasad Das, Brijesh Takkar, … Rajiv Khandekar
Artificial intelligence for diabetic retinopathy screening: a review Article05 September 2019 Andrzej Grzybowski, Piotr Brona, … Daniel S. W. Ting
Comparison of automated and expert human grading of diabetic retinopathy using smartphone-based retinal photography Article27 April 2020 Tyson N. Kim, Michael T. Aaberg, … Yannis M. Paulus