Background/Aims Diabetic retinopathy (DR) is a major ocular complication of diabetes mellitus. While artificial intelligence ...
Background The global burden of blindness and vision loss continues to increase, yet comprehensive analyses of underlying causes remain limited. This study estimated the global and regional burden of ...
Background/aim The study's aim was to compare chromosome 3 aberrations of choroidal melanoma (CM) as determined by multiplex ligation dependent probe amplification (MLPA) or microsatellite analysis ...
Correspondence to Professor Hu Liu, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China; liuhu{at}njmu.edu.cn and Professor Chen-Wei Pan, Medical College of Soochow ...
1 Department of Ophthalmology, Chungnam National University Hospital, Daejeon, Korea 2 Department of Ophthalmology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea 3 ...
Centre for Eye Research Australia, University of Melbourne, Melbourne, Australia Correspondence to: MsJennifer Hassell Centre for Eye Research Australia, Locked Bag 8, East Melbourne, 8002, Victoria, ...
Aims To address the absence from the public health ophthalmology literature of age- and sex-specific prevalence and related resource use for diabetic macular oedema (DMO) in England, UK. Methods ...
Dr Stephen D Klyce, Department of Ophthalmology, Mt Sinai School of Medicine, New York, NY 10029, USA; sklyce{at}klyce.com If you wish to reuse any or all of this ...
4 Department of Ophthalmology, Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, UK Correspondence to Robert L Johnston, Department of Ophthalmology, Cheltenham General Hospital, Sandford ...
Correspondence to Professor Ursula Margarethe Schmidt-Erfurth, Vienna Reading Center, Department of Ophthalmology, Medical University of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria; ...
Aims International criteria for the diagnosis of ocular sarcoidosis (OS) was established by the first International Workshop on Ocular Sarcoidosis (IWOS) and validations studies revealed certain ...
Aim To explore and evaluate an appropriate deep learning system (DLS) for the detection of 12 major fundus diseases using colour fundus photography. Methods Diagnostic performance of a DLS was tested ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results