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Surgical interventions for simple phakic fovea-splitting rhegmatogenous retinal detachment: a comparative study of scleral buckling and pars plana vitrectomy.
Front Med (Lausanne)
January 2025
National Clinical Research Center for Ocular Diseases, Eye Hospital, Wenzhou Medical University, Wenzhou, China.
Aims: To compare the efficiency of scleral buckling (SB) and pars plana vitrectomy (PPV) with or without SB in patients with primary simple phakic fovea-splitting rhegmatogenous retinal detachment (RRD).
Methods: A retrospective case-control study included 101 patients aged <55 years diagnosed with phakic fovea-splitting RRD. The primary outcome was functional success, defined as achieving a postoperative logarithm of the minimum angle of resolution best-corrected visual acuity of 0.
Research on grading detection methods for diabetic retinopathy based on deep learning.
Pak J Med Sci
January 2025
Juan Chen, Department of Ophthalmology, Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China.
Objective: To design a deep learning-based model for early screening of diabetic retinopathy, predict the condition, and provide interpretable justifications.
Methods: The experiment's model structure is designed based on the Vision Transformer architecture which was initiated in March 2023 and the first version was produced in July 2023 at Affiliated Hospital of Hangzhou Normal University. We use the publicly available EyePACS dataset as input to train the model.
Frequency of undiagnosed hypertension among diabetic patients with micro vascular complications.
Pak J Med Sci
January 2025
Syed Khurram Shehzad, Department of Medicine, Lahore Medical and Dental College, Lahore, Pakistan.
Objectives: To determine the frequency of undiagnosed hypertension among the diabetic patients with micro vascular complications.
Method: This is a descriptive case series conducted at Department of Medicine, Ghurki Trust Teaching Hospital, in this six month stud which enrolled 213 patients between 18-60 years from March 28, 2021 to September 28, 2021, having diabetes with microvascular complications. These patients were not previously diagnosed as hypertensives.
Lightweight Retinal Layer Segmentation With Global Reasoning.
IEEE Trans Instrum Meas
May 2024
School of Mechanical Engineering, Shandong University, Jinan 250061, Shandong, China.
Automatic retinal layer segmentation with medical images, such as optical coherence tomography (OCT) images, serves as an important tool for diagnosing ophthalmic diseases. However, it is challenging to achieve accurate segmentation due to low contrast and blood flow noises presented in the images. In addition, the algorithm should be light-weight to be deployed for practical clinical applications.
View Article and Find Full Text PDFPurpose: To develop an algorithm using routine clinical laboratory measurements to identify people at risk for systematic underestimation of glycated hemoglobin (HbA1c) due to p.Val68Met glucose-6-phosphate dehydrogenase (G6PD) deficiency.
Methods: We analyzed 122,307 participants of self-identified Black race across four large cohorts with blood glucose, HbA1c, and red cell distribution width measurements from a single blood draw.
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