Diabetic Retinopathy
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Last Posted: Jun 15, 2021
- ARTIFICIAL INTELLIGENCE IN DIABETIC RETINOPATHY SCREENING. A REVIEW.
Stranák Z et al. Ceska a slovenska oftalmologie : casopis Ceske oftalmologicke spolecnosti a Slovenske oftalmologicke spolecnosti 2020 1(Ahead of print) 1-8 - A deep learning system for detecting diabetic retinopathy across the disease spectrum.
Dai Ling et al. Nature communications 2021 12(1) 3242 - Diabetic retinopathy classification based on multipath CNN and machine learning classifiers.
Gayathri S et al. Physical and engineering sciences in medicine 2021 - Accuracy of Diabetic Retinopathy Staging with a Deep Convolutional Neural Network Using Ultra-Wide-Field Fundus Ophthalmoscopy and Optical Coherence Tomography Angiography.
Nagasawa Toshihiko et al. Journal of ophthalmology 2021 20216651175 - Role of Artificial Intelligence Applications in Real-Life Clinical Practice: Systematic Review.
Yin Jiamin et al. Journal of medical Internet research 2021 23(4) e25759 - Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis.
Aggarwal Ravi et al. NPJ digital medicine 2021 4(1) 65 - Application of machine learning methods to bridge the gap between non-interventional studies and randomized controlled trials in ophthalmic patients with neovascular age-related macular degeneration.
Sagkriotis Alexandros et al. Contemporary clinical trials 2021 106364 - Automated feature-based grading and progression analysis of diabetic retinopathy.
Al-Turk Lutfiah et al. Eye (London, England) 2021 - Biomarkers for Progression in Diabetic Retinopathy: Expanding Personalized Medicine through Integration of AI with Electronic Health Records.
Jacoba Cris Martin P et al. Seminars in ophthalmology 2021 1-8 - A Comparison of Artificial Intelligence and Human Diabetic Retinal Image Interpretation in an Urban Health System.
Mokhashi Nikita et al. Journal of diabetes science and technology 2021 1932296821999370
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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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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, 2020
- Page last updated:Jun 21, 2021
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