Cargando…

Performance of the AIDRScreening system in detecting diabetic retinopathy in the fundus photographs of Chinese patients: a prospective, multicenter, clinical study

BACKGROUND: Diabetic retinopathy (DR) is the leading cause of blindness in the working-age population worldwide, and there is a large unmet need for DR screening in China. This observational, prospective, multicenter, gold standard-controlled study sought to evaluate the effectiveness and safety of...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yang, Yao, Pan, Jianying, Yuan, Miner, Lai, Kunbei, Xie, Huirui, Ma, Li, Xu, Suzhong, Deng, Ruzhi, Zhao, Mingwei, Luo, Yan, Lin, Xiaofeng
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2022
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9652560/ https://www.ncbi.nlm.nih.gov/pubmed/36388839 http://dx.doi.org/10.21037/atm-22-350

Ejemplares similares

Segmentation of Laser Marks of Diabetic Retinopathy in the Fundus Photographs Using Lightweight U-Net
por: Jiang, Yukang, et al.
Publicado: (2021)

Rapid Grading of Fundus Photographs for Diabetic Retinopathy Using Crowdsourcing
por: Brady, Christopher J, et al.
Publicado: (2014)

Digital image processing software for diagnosing diabetic retinopathy from fundus photograph
por: Ratanapakorn, Tanapat, et al.
Publicado: (2019)

A Multicenter Clinical Study of the Automated Fundus Screening Algorithm
por: Li, Fei, et al.
Publicado: (2022)

Semi-automated quantification of hard exudates in colour fundus photographs diagnosed with diabetic retinopathy
por: Marupally, Abhilash Goud, et al.
Publicado: (2017)

Automatic Detection of Diabetic Retinopathy in Retinal Fundus Photographs Based on Deep Learning Algorithm
por: Li, Feng, et al.
Publicado: (2019)

A Deep Learning Framework for Earlier Prediction of Diabetic Retinopathy from Fundus Photographs
por: Gunasekaran, K., et al.
Publicado: (2022)

Inter-observer agreement in grading severity of diabetic retinopathy in wide-field fundus photographs
por: Srinivasan, Sangeetha, et al.
Publicado: (2023)

An Evaluation System of Fundus Photograph-Based Intelligent Diagnostic Technology for Diabetic Retinopathy and Applicability for Research
por: Yang, Wei-Hua, et al.
Publicado: (2019)

Mobile Telemedicine Screening for Diabetic Retinopathy Using Nonmydriatic Fundus Photographs in Burgundy: 11 Years of Results
por: Charlot, Anthony, et al.
Publicado: (2022)

On a New Instrument for Photographing the Fundus Oculi
por: Rosebrugh, A. M.
Publicado: (1864)

Diagnostic accuracy of a digital fundus photographic system for detection of retinopathy of prematurity requiring treatment (ROP-RT)
por: Wongwai, Phanthipha, et al.
Publicado: (2018)

Registration of OCT fundus images with color fundus photographs based on blood vessel ridges
por: Li, Ying, et al.
Publicado: (2010)

Diagnostic Accuracy of Detecting Diabetic Retinopathy by Using Digital Fundus Photographs in the Peripheral Health Facilities of Bangladesh: Validation Study
por: Begum, Tahmina, et al.
Publicado: (2021)

2D alpha-shapes to quantify retinal microvasculature morphology and their application to proliferative diabetic retinopathy characterisation in fundus photographs
por: Pead, Emma, et al.
Publicado: (2021)

Trends in Diabetic Retinopathy, Visual Acuity, and Treatment Outcomes for Patients Living With Diabetes in a Fundus Photograph–Based Diabetic Retinopathy Screening Program in Bangladesh
por: Muqit, Mahiul M. K., et al.
Publicado: (2019)

Sensitivity and specificity of automated analysis of single-field non-mydriatic fundus photographs by Bosch DR Algorithm—Comparison with mydriatic fundus photography (ETDRS) for screening in undiagnosed diabetic retinopathy
por: Bawankar, Pritam, et al.
Publicado: (2017)

A review on automatic analysis techniques for color fundus photographs
por: Besenczi, Renátó, et al.
Publicado: (2016)

The subjectivity of objective evaluation of torsion on fundus photographs by practicing strabismologists
por: Jethani, Jitendra, et al.
Publicado: (2018)

Towards population-independent, multi-disease detection in fundus photographs
por: Matta, Sarah, et al.
Publicado: (2023)

The use of artificial intelligence in detecting papilledema from fundus photographs
por: Anandi, Lazuardiah, et al.
Publicado: (2023)

Frequency, severity and risk indicators of retinopathy in patients with diabetes screened by fundus photographs: a study from primary health care
por: Memon, Saleh, et al.
Publicado: (2014)

Global Assessment of Retinal Arteriolar, Venular and Capillary Microcirculations Using Fundus Photographs and Optical Coherence Tomography Angiography in Diabetic Retinopathy
por: Tan, Tien-En, et al.
Publicado: (2019)

Reproduction study using public data of: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs
por: Voets, Mike, et al.
Publicado: (2019)

Analysis of non-retinopathy of prematurity (ROP)–related fundus hemorrhage in preterm infants in China
por: Yaoyao, Sun, et al.
Publicado: (2022)

Identifying Peripheral Neuropathy in Colour Fundus Photographs Based on Deep Learning
por: Cervera, Diego R., et al.
Publicado: (2021)

Quantitative Fundus Autofluorescence in HCQ Retinopathy
por: Greenstein, Vivienne C., et al.
Publicado: (2020)

Slit lamp- and noncontact lens-assisted photography: a novel technique for color fundus photograph-like fundus imaging
por: Hosoda, Yoshikatsu, et al.
Publicado: (2014)

Predictive Biomarker for Progression Into the Sunset Glow Fundus of Vogt-Koyanagi-Harada Disease, Using Adaptive Binarization of Fundus Photographs
por: Komuku, Yuki, et al.
Publicado: (2020)

Prospective comparison of two methods of screening for diabetic retinopathy by nonmydriatic fundus camera
por: Romero-Aroca, Pedro, et al.
Publicado: (2010)

Detection of Progressive Glaucomatous Optic Nerve Damage on Fundus Photographs with Deep Learning
por: Medeiros, Felipe A., et al.
Publicado: (2021)

Factors in Color Fundus Photographs That Can Be Used by Humans to Determine Sex of Individuals
por: Dieck, Simon, et al.
Publicado: (2020)

Factors in Color Fundus Photographs That Can Be Used by Humans to Determine Sex of Individuals
por: Yamashita, Takehiro, et al.
Publicado: (2020)

Identifying Mouse Autoimmune Uveitis from Fundus Photographs Using Deep Learning
por: Sun, Jian, et al.
Publicado: (2020)

Artificial intelligence-based detection of epimacular membrane from color fundus photographs
por: Shao, Enhua, et al.
Publicado: (2021)

Predicting sex from retinal fundus photographs using automated deep learning
por: Korot, Edward, et al.
Publicado: (2021)

Differential distribution of manifest lesions in diabetic retinopathy by fundus fluorescein angiography and fundus photography
por: Li, Xiaoli, et al.
Publicado: (2020)

Fundus fluorescence Angiography in diagnosing diabetic retinopathy
por: Wang, Shuhui, et al.
Publicado: (2017)

Smartphone-based fundus documentation in retinopathy of prematurity
por: Raju, Biju, et al.
Publicado: (2019)

Selfie fundus imaging for diabetic retinopathy screening
por: Kumari, Somya, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_oahfl1oe7rfqha9bcqj15lg46r