Literature DB >> 31827270

The impact of artificial intelligence in screening for diabetic retinopathy in India.

Ramachandran Rajalakshmi1.   

Abstract

Entities:  

Year:  2019        PMID： 31827270      PMCID： PMC7055593          DOI： 10.1038/s41433-019-0626-5

Source DB:  PubMed          Journal:  Eye (Lond)        ISSN： 0950-222X            Impact factor:   3.775


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  8 in total

1.  Prevalence of diabetic retinopathy in urban India: the Chennai Urban Rural Epidemiology Study (CURES) eye study, I.

Authors:  Mohan Rema; Sundaram Premkumar; Balaji Anitha; Raj Deepa; Rajendra Pradeepa; Viswanathan Mohan
Journal:  Invest Ophthalmol Vis Sci       Date:  2005-07       Impact factor: 4.799

2.  Developing a screening program to detect sight-threatening diabetic retinopathy in South India.

Authors:  Perumalsamy Namperumalsamy; Praveen K Nirmalan; Kim Ramasamy
Journal:  Diabetes Care       Date:  2003-06       Impact factor: 19.112

3.  Diagnostic Accuracy of Community-Based Diabetic Retinopathy Screening With an Offline Artificial Intelligence System on a Smartphone.

Authors:  Sundaram Natarajan; Astha Jain; Radhika Krishnan; Ashwini Rogye; Sobha Sivaprasad
Journal:  JAMA Ophthalmol       Date:  2019-10-01       Impact factor: 7.389

Review 4.  Fundus photograph-based deep learning algorithms in detecting diabetic retinopathy.

Authors:  Rajiv Raman; Sangeetha Srinivasan; Sunny Virmani; Sobha Sivaprasad; Chetan Rao; Ramachandran Rajalakshmi
Journal:  Eye (Lond)       Date:  2018-11-06       Impact factor: 3.775

Review 5.  Global prevalence and major risk factors of diabetic retinopathy.

Authors:  Joanne W Y Yau; Sophie L Rogers; Ryo Kawasaki; Ecosse L Lamoureux; Jonathan W Kowalski; Toke Bek; Shih-Jen Chen; Jacqueline M Dekker; Astrid Fletcher; Jakob Grauslund; Steven Haffner; Richard F Hamman; M Kamran Ikram; Takamasa Kayama; Barbara E K Klein; Ronald Klein; Sannapaneni Krishnaiah; Korapat Mayurasakorn; Joseph P O'Hare; Trevor J Orchard; Massimo Porta; Mohan Rema; Monique S Roy; Tarun Sharma; Jonathan Shaw; Hugh Taylor; James M Tielsch; Rohit Varma; Jie Jin Wang; Ningli Wang; Sheila West; Liang Xu; Miho Yasuda; Xinzhi Zhang; Paul Mitchell; Tien Y Wong
Journal:  Diabetes Care       Date:  2012-02-01       Impact factor: 19.112

6.  Automated diabetic retinopathy detection in smartphone-based fundus photography using artificial intelligence.

Authors:  Ramachandran Rajalakshmi; Radhakrishnan Subashini; Ranjit Mohan Anjana; Viswanathan Mohan
Journal:  Eye (Lond)       Date:  2018-03-09       Impact factor: 3.775

7.  Deep learning versus human graders for classifying diabetic retinopathy severity in a nationwide screening program.

Authors:  Paisan Raumviboonsuk; Jonathan Krause; Peranut Chotcomwongse; Rory Sayres; Lily Peng; Dale R Webster; Rajiv Raman; Kasumi Widner; Bilson J L Campana; Sonia Phene; Kornwipa Hemarat; Mongkol Tadarati; Sukhum Silpa-Archa; Jirawut Limwattanayingyong; Chetan Rao; Oscar Kuruvilla; Jesse Jung; Jeffrey Tan; Surapong Orprayoon; Chawawat Kangwanwongpaisan; Ramase Sukumalpaiboon; Chainarong Luengchaichawang; Jitumporn Fuangkaew; Pipat Kongsap; Lamyong Chualinpha; Sarawuth Saree; Srirut Kawinpanitan; Korntip Mitvongsa; Siriporn Lawanasakol; Chaiyasit Thepchatri; Lalita Wongpichedchai; Greg S Corrado
Journal:  NPJ Digit Med       Date:  2019-04-10

8.  Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema Grading.

Authors:  Jaakko Sahlsten; Joel Jaskari; Jyri Kivinen; Lauri Turunen; Esa Jaanio; Kustaa Hietala; Kimmo Kaski
Journal:  Sci Rep       Date:  2019-07-24       Impact factor: 4.379
  8 in total
  5 in total

1.  Tele-Ophthalmology Versus Face-to-Face Retinal Consultation for Assessment of Diabetic Retinopathy in Diabetes Care Centers in India: A Multicenter Cross-Sectional Study.

Authors:  Ramachandran Rajalakshmi; Ganesan UmaSankari; Vijayaraghavan Prathiba; Ranjit Mohan Anjana; Ranjit Unnikrishnan; Ulagamathesan Venkatesan; Saravanan JebaRani; Coimbatore Subramanian Shanthirani; Sobha Sivaprasad; Viswanathan Mohan
Journal:  Diabetes Technol Ther       Date:  2022-04-13       Impact factor: 7.337

2.  The ORNATE India project: Building research capacity and capability to tackle the burden of diabetic retinopathy-related blindness in India.

Authors:  Dolores Conroy; Radha Ramakrishnan; Rajiv Raman; Ramachandran Rajalakshmi; Padmaja Kumari Rani; Kim Ramasamy; Viswananthan Mohan; Taraprasad Das; Rajeev Sadanandan; Gopal Netuveli; Sobha Sivaprasad
Journal:  Indian J Ophthalmol       Date:  2021-11       Impact factor: 1.848

3.  AOSLO-net: A Deep Learning-Based Method for Automatic Segmentation of Retinal Microaneurysms From Adaptive Optics Scanning Laser Ophthalmoscopy Images.

Authors:  Qian Zhang; Konstantina Sampani; Mengjia Xu; Shengze Cai; Yixiang Deng; He Li; Jennifer K Sun; George Em Karniadakis
Journal:  Transl Vis Sci Technol       Date:  2022-08-01       Impact factor: 3.048

4.  Feasibility of screening for diabetic retinopathy using artificial intelligence, Brazil.

Authors:  Fernando Korn Malerbi; Gustavo Barreto Melo
Journal:  Bull World Health Organ       Date:  2022-08-22       Impact factor: 13.831

5.  Machine learning in medicine: should the pursuit of enhanced interpretability be abandoned?

Authors:  Chang Ho Yoon; Robert Torrance; Naomi Scheinerman
Journal:  J Med Ethics       Date:  2021-05-18       Impact factor: 5.926
  5 in total

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