Curr. Diab. Rep.
Policy Implications of Artificial Intelligence and Machine Learning in Diabetes Management.
Broome DT, Hilton CB, Mehta N
Machine learning (ML) is increasingly being studied for the screening, diagnosis, and management of diabetes and its complications. Although various m ...
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Source: PubMed
Am. J. Ophthalmol. 2020 Jan 29
Retinal Non-Perfusion in Proliferative Diabetic Retinopathy Before and After Panretinal Photocoagulation Assessed by Wide Field OCT Angiography.
Russell JF, Al-Khersan H, Shi Y, Scott NL, Hinkle JW, Fan KC, Lyu C, Feuer WJ, Gregori G, Rosenfeld PJ
Wide field swept source OCT angiography (WF SS-OCTA) imaging was compared with ultrawide-field (UWF) fluorescein angiography (FA) imaging to better un ...
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Source: PubMed
Sci Rep
Relationship between Intrinsically Photosensitive Ganglion Cell Function and Circadian Regulation in Diabetic Retinopathy.
Reutrakul S, Crowley SJ, Park JC, Chau FY, Priyadarshini M, Hanlon EC, Danielson KK, Gerber BS, Baynard T, Yeh JJ, McAnany JJ
Intrinsically photosensitive retinal ganglion cells (ipRGCs) control non-visual light responses (e.g. pupillary light reflex and circadian entrainment ...
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Source: PubMed
J Integr Med 2020 Jan 16
Berberine for prevention of dementia associated with diabetes and its comorbidities: A systematic review.
Shinjyo N, Parkinson J, Bell J, Katsuno T, Bligh A
A growing number of epidemiological studies indicate that metabolic syndrome (MetS) and its associated features play a key role in the development of ...
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Source: PubMed
Ann Palliat Med
Effect of intravitreal ranibizumab pretreatment on vitrectomy in young patients with proliferative diabetic retinopathy.
Chen HJ, Wang CG, Dou HL, Feng XF, Xu YM, Ma ZZ
Younger patients who underwent vitrectomy for proliferative diabetic retinopathy (PDR) display more aggressive nature distinguished from the older pat ...
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Source: PubMed
