Literature DB >> 27898977

Artificial Intelligence With Deep Learning Technology Looks Into Diabetic Retinopathy Screening.

Tien Yin Wong1, Neil M Bressler2.   

Abstract

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Year:  2016        PMID： 27898977     DOI： 10.1001/jama.2016.17563

Source DB:  PubMed          Journal:  JAMA        ISSN： 0098-7484            Impact factor:   56.272


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  56 in total

1.  Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application.

Authors:  Valentina Bellemo; Gilbert Lim; Tyler Hyungtaek Rim; Gavin S W Tan; Carol Y Cheung; SriniVas Sadda; Ming-Guang He; Adnan Tufail; Mong Li Lee; Wynne Hsu; Daniel Shu Wei Ting
Journal:  Curr Diab Rep       Date:  2019-07-31       Impact factor: 4.810

2.  Automatic Detection of Genetics and Genomics of Eye Disease Using Deep Assimilation Learning Algorithm.

Authors:  Mohamed Yacin Sikkandar
Journal:  Interdiscip Sci       Date:  2021-01-04       Impact factor: 2.233

3.  Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathy.

Authors:  Michelle Y T Yip; Gilbert Lim; Zhan Wei Lim; Quang D Nguyen; Crystal C Y Chong; Marco Yu; Valentina Bellemo; Yuchen Xie; Xin Qi Lee; Haslina Hamzah; Jinyi Ho; Tien-En Tan; Charumathi Sabanayagam; Andrzej Grzybowski; Gavin S W Tan; Wynne Hsu; Mong Li Lee; Tien Yin Wong; Daniel S W Ting
Journal:  NPJ Digit Med       Date:  2020-03-23

4.  Targeting weight loss interventions to reduce cardiovascular complications of type 2 diabetes: a machine learning-based post-hoc analysis of heterogeneous treatment effects in the Look AHEAD trial.

Authors:  Aaron Baum; Joseph Scarpa; Emilie Bruzelius; Ronald Tamler; Sanjay Basu; James Faghmous
Journal:  Lancet Diabetes Endocrinol       Date:  2017-07-12       Impact factor: 32.069

5.  Sex judgment using color fundus parameters in elementary school students.

Authors:  Saki Noma; Takehiro Yamashita; Ryo Asaoka; Hiroto Terasaki; Naoya Yoshihara; Naoko Kakiuchi; Taiji Sakamoto
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2020-10-16       Impact factor: 3.117

6.  Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs.

Authors:  Tae Kyung Kim; Paul H Yi; Jinchi Wei; Ji Won Shin; Gregory Hager; Ferdinand K Hui; Haris I Sair; Cheng Ting Lin
Journal:  J Digit Imaging       Date:  2019-12       Impact factor: 4.056

7.  Retinal vascular geometry and 6 year incidence and progression of diabetic retinopathy.

Authors:  Carol Yim-Lui Cheung; Charumathi Sabanayagam; Antony Kwan-Pui Law; Neelam Kumari; Daniel Shu-Wei Ting; Gavin Tan; Paul Mitchell; Ching Yu Cheng; Tien Yin Wong
Journal:  Diabetologia       Date:  2017-06-16       Impact factor: 10.122

8.  Towards implementation of AI in New Zealand national diabetic screening program: Cloud-based, robust, and bespoke.

Authors:  Li Xie; Song Yang; David Squirrell; Ehsan Vaghefi
Journal:  PLoS One       Date:  2020-04-10       Impact factor: 3.240

Review 9.  Statistical Modeling and Aggregate-Weighted Scoring Systems in Prediction of Mortality and ICU Transfer: A Systematic Review.

Authors:  Daniel T Linnen; Gabriel J Escobar; Xiao Hu; Elizabeth Scruth; Vincent Liu; Caroline Stephens
Journal:  J Hosp Med       Date:  2019-03       Impact factor: 2.960

10.  Diabetic Retinopathy: Focus on Minority Populations.

Authors:  Arpine Barsegian; Boleslav Kotlyar; Justin Lee; Moro O Salifu; Samy I McFarlane
Journal:  Int J Clin Endocrinol Metab       Date:  2017-11-11
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