Diabetic Retinopathy
What's New
Last Posted: Oct 26, 2021
- ARTEFICIAL INTELLIGENCE IN DIABETIC RETINOPATHY SCREENING. A REVIEW.
Stranák Z et al. Ceska a slovenska oftalmologie : casopis Ceske oftalmologicke spolecnosti a Slovenske oftalmologicke spolecnosti 2021 77(5) 224-231 - Combined automated screening for age-related macular degeneration and diabetic retinopathy in primary care settings.
Bhuiyan Alauddin et al. Annals of eye science 2021 6 - Effective methods of diabetic retinopathy detection based on deep convolutional neural networks.
Gu Yunchao et al. International journal of computer assisted radiology and surgery 2021 - The Importance of Close Follow-Up in Patients with Early-Grade Diabetic Retinopathy: A Taiwan Population-Based Study Grading via Deep Learning Model.
Lee Chia-Cheng et al. International journal of environmental research and public health 2021 18(18) - Evaluation of a New Neural Network Classifier for Diabetic Retinopathy.
Katz Or et al. Journal of diabetes science and technology 2021 19322968211042665 - [Accuracy of artificial intelligence compared to trained medical technologists in diabetic retinopathy screening].
Ibáñez-Bruron María C et al. Revista medica de Chile 2021 149(4) 493-500 - Automated Detection and Diagnosis of Diabetic Retinopathy: A Comprehensive Survey.
Lakshminarayanan Vasudevan et al. Journal of imaging 2021 7(9) - Detecting diabetic retinopathy through machine learning on electronic health record data from an urban, safety net healthcare system.
Ogunyemi Omolola I et al. JAMIA open 2021 4(3) ooab066 - Performance and Limitation of Machine Learning Algorithms for Diabetic Retinopathy Screening: Meta-analysis.
Wu Jo-Hsuan et al. Journal of medical Internet research 2021 23(7) e23863 - Ethics of Artificial Intelligence in Medicine and Ophthalmology.
Abdullah Yasser Ibraheem et al. Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) 2021 10(3) 289-298
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About Diabetes PHGKB
Diabetes PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to diabetes...more
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Common Diabetes Related Topics
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by the CDC Office of Public Health Genomics to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Oct 1, 2021
- Page last updated:Dec 05, 2021
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