Results 1 to 10 of about 939 (130)

A prospective comparison of ultrawide-field and two-field fundus imaging for diabetic retinopathy assessment [PDF]

BMC Medical Imaging
Background To evaluate the efficacy of nonmydriatic ultrawide-field (UWF) imaging in diagnosing diabetic retinopathy (DR) compared to nonmydriatic 2-field 45° fundus photography (FP).
Yanzhen Li, Chenxi Fu, Liheng Xiu, Linyi Zhang, Xi Zhang, Chunhong Chen, Zhongwen Li   +6 more
doaj   +2 more sources

Effect of Accessible Nonmydriatic Retinal Imaging on Diabetic Retinopathy Surveillance Rates [PDF]

Telemedicine and e-Health, 2023
Purpose: To evaluate the impact on surveillance rates for diabetic retinopathy (DR) by providing nonmydriatic retinal imaging as part of comprehensive diabetes care at no cost to patients or insurers. Methods:
Cris Martin P. Jacoba, Jerry D. Cavallerano, Ann M. Tolston, Paolo S. Silva   +3 more
openaire   +3 more sources

Sensitivity and specificity of nonmydriatic digital imaging in screening diabetic retinopathy in Indian eyes

Indian Journal of Ophthalmology, 2014
Background: Nonmydriatic digital imaging (NMDI) is ideal for screening diabetic retinopathy (DR), but its use in Indian eyes has not been evaluated. Aim: The aim was to evaluate the sensitivity and specificity of NMDI as a screening tool in detecting DR ...
Vishali Gupta, Reema Bansal, Amod Gupta, Anil Bhansali   +3 more
doaj   +3 more sources

Multi-Comparison of Different Ocular Imaging Modality-based Deep Learning Models for Visually Significant Cataract Detection [PDF]

Ophthalmology Science
Purpose: Age-related cataract is the leading cause of vision impairment. Researchers have utilized various imaging modalities, including slit beam, diffuse anterior segment, and retinal imaging, to develop deep learning (DL) algorithms for automated ...
Jocelyn Hui Lin Goh, BEng, Xiaofeng Lei, MSc, Miao-Li Chee, MPH, Yiming Qian, PhD, Marco Yu, PhD, Tyler Hyungtaek Rim, MD, PhD, Simon Nusinovici, PhD, David Ziyou Chen, MBBS, FRCOphth, Kai Hui Koh, BSc, Samantha Min Er Yew, BSc, Yibing Chen, BEng, Victor Teck Chang Koh, MBBS, MMed, Charumathi Sabanayagam, MD, PhD, Tien Yin Wong, MD, PhD, Xinxing Xu, PhD, Rick Siow Mong Goh, PhD, Yong Liu, PhD, Ching-Yu Cheng, MD, PhD, Yih-Chung Tham, PhD   +18 more
doaj   +2 more sources

Prevalence and associated factors of epiretinal membrane using spectralis OCT in Fujian Eye Study [PDF]

Scientific Reports
We aimed to determine the prevalence and risk factors of epiretinal membrane in a population-based study of residents aged 50 years and older in Fujian Province, Southeast China.
Yang Li, Xiaoxin Li, Yonghua Hu, Bin Wang, Mingqin Zhang, Qinrui Hu   +5 more
doaj   +2 more sources

Eye and Systemic Disease Management Changes After Teleophthalmology Screening in Primary Care: Retrospective Cross-Sectional Pilot Study of 200 Consecutive Patients [PDF]

JMIR Formative Research
BackgroundUndiagnosed ocular diseases and ocular complications from systemic diseases are common in primary care populations, and many can be detected through retinal imaging before symptoms develop.
Alexander Pinhas, Boris Pinhas, Egor Dmitruk, Stella Pinhas   +3 more
doaj   +2 more sources

Long-Term Effect on HbA1c in Poorly Controlled Diabetic Patients Following Nonmydriatic Retinal Image Review at the Time of Endocrinology Visit [PDF]

Telemedicine Journal and E-Health, 2020
Background: Patient education demonstrates variable benefits on diabetes control. Introduction: To examine the effect of discussing nonmydriatic retinal imaging ...
Lloyd Paul Aiello, Jerry D Cavallerano, Jennifer K Sun   +2 more
exaly   +3 more sources

Multimodal dataset using OCTA and fundus images for the study of diabetic retinopathy [PDF]

Data in Brief
This article presents a Multimodal database consisting of 222 images of 76 people wherein 111 are OCTA images and 111 are color fundus images taken at the Natasha Eye Care and Research Institute of Pune Maharashtra, India. Nonmydriatic fundus images were
Pooja Bidwai, Shilpa Gite, Aditi Gupta, Kishore Pahuja, Ketan Kotecha   +4 more
doaj   +2 more sources

Validation of the Eyerobo FC Portable Fundus Camera for Diabetic Retinopathy Screening Using Public Datasets and Deep Learning [PDF]

Ophthalmology and Therapy
Introduction To validate the diagnostic performance of the Eyerobo FC, a new portable non-mydriatic fundus camera for diabetic retinopathy (DR) screening, against an established desktop fundus camera benchmark using a transfer-learning approach in which ...
Emmanuel Eric Pazo, Xiangying Liu, Shoukuan Liu, Qinru Zhang, Mingxuan Zhang, Zhihui Zhang, Salissou Moutari, Muhammad Usama, Xinjun Ren   +8 more
doaj   +2 more sources

Performance of a Retinal Imaging Camera With On-Device Intelligence for Primary Care: Retrospective Study [PDF]

JMIR Formative Research
BackgroundAccess to screening continues to be a barrier for the early detection of diabetic retinopathy (DR). Primary care–based diabetic retinopathy screening could improve access, but operational challenges, such as cost and workflow management, hamper
Matthew Silvestrini, Clarissa Lui, Anil Patwardhan, Ying Chen, Tayyeba Ali, Elie Glik, Honglei Wu, Brian Levinstein, Adrianna Wenz, Nathan Shemonski, Lin Yang, Ian Atkinson, Sam Kavusi   +12 more
doaj   +2 more sources