Literature DB >> 31757498

Diabetic Retinopathy Preferred Practice Pattern®.

Christina J Flaxel1, Ron A Adelman2, Steven T Bailey1, Amani Fawzi3, Jennifer I Lim4, G Atma Vemulakonda5, Gui-Shuang Ying6.   

Abstract

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Year:  2019        PMID： 31757498     DOI： 10.1016/j.ophtha.2019.09.025

Source DB:  PubMed          Journal:  Ophthalmology        ISSN： 0161-6420            Impact factor:   12.079


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  76 in total

1.  Diving Deep into Deep Learning: An Update on Artificial Intelligence in Retina.

Authors:  Brian E Goldhagen; Hasenin Al-Khersan
Journal:  Curr Ophthalmol Rep       Date:  2020-06-07

2.  Preoperative laser reduces silicone oil use in primary diabetic vitrectomy.

Authors:  Wen-Bin Zheng; Xiao-Hu Ding; Kun-Bei Lai; Ji-Zhu Li; Yu-Qing Wu; Yuan Ma; Zi-Ye Chen; Shi-Da Chen; Sai-Nan Xiao; Bing-Qian Liu; Ying Lin; Tao Li
Journal:  Int J Ophthalmol       Date:  2022-04-18       Impact factor: 1.779

Review 3.  Artificial Intelligence Algorithms in Diabetic Retinopathy Screening.

Authors:  Sidra Zafar; Heba Mahjoub; Nitish Mehta; Amitha Domalpally; Roomasa Channa
Journal:  Curr Diab Rep       Date:  2022-04-19       Impact factor: 4.810

4.  Foveal avascular zone analysis by optical coherence tomography angiography in patients with type 1 and 2 diabetes and without clinical signs of diabetic retinopathy.

Authors:  Giovanni William Oliverio; Ida Ceravolo; Ahsan Bhatti; Costantino John Trombetta
Journal:  Int Ophthalmol       Date:  2020-11-06       Impact factor: 2.031

Review 5.  Circular RNAs: Novel target of diabetic retinopathy.

Authors:  Huan-Ran Zhou; Hong-Yu Kuang
Journal:  Rev Endocr Metab Disord       Date:  2021-03-24       Impact factor: 6.514

6.  A deep learning system for detecting diabetic retinopathy across the disease spectrum.

Authors:  Ling Dai; Liang Wu; Huating Li; Chun Cai; Qiang Wu; Hongyu Kong; Ruhan Liu; Xiangning Wang; Xuhong Hou; Yuexing Liu; Xiaoxue Long; Yang Wen; Lina Lu; Yaxin Shen; Yan Chen; Dinggang Shen; Xiaokang Yang; Haidong Zou; Bin Sheng; Weiping Jia
Journal:  Nat Commun       Date:  2021-05-28       Impact factor: 14.919

7.  Evaluation of multi-level barriers and facilitators in a large diabetic retinopathy screening program in federally qualified health centers: a qualitative study.

Authors:  Ana Bastos de Carvalho; S Lee Ware; Tamara Belcher; Franceska Mehmeti; Eric B Higgins; Rob Sprang; Cody Williams; Jamie L Studts; Christina R Studts
Journal:  Implement Sci Commun       Date:  2021-05-22

8.  Multicenter, Head-to-Head, Real-World Validation Study of Seven Automated Artificial Intelligence Diabetic Retinopathy Screening Systems.

Authors:  Aaron Y Lee; Ryan T Yanagihara; Cecilia S Lee; Marian Blazes; Hoon C Jung; Yewlin E Chee; Michael D Gencarella; Harry Gee; April Y Maa; Glenn C Cockerham; Mary Lynch; Edward J Boyko
Journal:  Diabetes Care       Date:  2021-01-05       Impact factor: 19.112

Review 9.  Diabetic retinopathy and diabetic macular oedema pathways and management: UK Consensus Working Group.

Authors:  Winfried M Amoaku; Faruque Ghanchi; Clare Bailey; Sanjiv Banerjee; Somnath Banerjee; Louise Downey; Richard Gale; Robin Hamilton; Kamlesh Khunti; Esther Posner; Fahd Quhill; Stephen Robinson; Roopa Setty; Dawn Sim; Deepali Varma; Hemal Mehta
Journal:  Eye (Lond)       Date:  2020-06       Impact factor: 3.775

10.  Diabetic Retinopathy Screening with Automated Retinal Image Analysis in a Primary Care Setting Improves Adherence to Ophthalmic Care.

Authors:  James Liu; Ella Gibson; Shawn Ramchal; Vikram Shankar; Kisha Piggott; Yevgeniy Sychev; Albert S Li; Prabakar K Rao; Todd P Margolis; Emily Fondahn; Malavika Bhaskaranand; Kaushal Solanki; Rithwick Rajagopal
Journal:  Ophthalmol Retina       Date:  2020-06-17
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