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Noninvasive Anemia Detection and Hemoglobin Estimation from Retinal Images Using Deep Learning: A Scalable Solution for Resource-Limited Settings.
Transl Vis Sci Technol
January 2025
School of Optometry and Vision Science, University of New South Wales, Sydney, Australia.
Purpose: The purpose of this study was to develop and validate a deep-learning model for noninvasive anemia detection, hemoglobin (Hb) level estimation, and identification of anemia-related retinal features using fundus images.
Methods: The dataset included 2265 participants aged 40 years and above from a population-based study in South India. The dataset included ocular and systemic clinical parameters, dilated retinal fundus images, and hematological data such as complete blood counts and Hb concentration levels.
Explainable Deep Learning for Glaucomatous Visual Field Prediction: Artifact Correction Enhances Transformer Models.
Transl Vis Sci Technol
January 2025
Department of Biomedical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, Thailand.
Purpose: The purpose of this study was to develop a deep learning approach that restores artifact-laden optical coherence tomography (OCT) scans and predicts functional loss on the 24-2 Humphrey Visual Field (HVF) test.
Methods: This cross-sectional, retrospective study used 1674 visual field (VF)-OCT pairs from 951 eyes for training and 429 pairs from 345 eyes for testing. Peripapillary retinal nerve fiber layer (RNFL) thickness map artifacts were corrected using a generative diffusion model.
Exploring the effect of gestational diabetes mellitus on retinal vascular morphology by PKSEA-Net.
Front Cell Dev Biol
January 2025
Quzhou Aliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
Background: Gestational diabetes mellitus (GDM) is a temporary metabolic disorder in which small retinal vessels may have experience subtle changes before clinical lesions of the fundus retina appear. An innovative artificial intelligence image processing technology was applied to locate and analyze the small retinal vessel morphology and accurately evaluate the changes of the small retinal vessels in GDM patients and pregnant women with normal blood glucose and non-pregnant women with normal blood glucose.
Methods: The subjects were divided into three groups:GDM group, pregnant control group (PC), and normal control group (NC).
Analysis of retinal sublayers in patients with systemic COVID-19 illness with varying degrees of severity.
Sci Rep
January 2025
Poostchi Ophthalmology Research Center, Department of Ophthalmology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
COVID-19 infection has been linked to ocular involvement, particularly retinal microvascular changes. Additionally, prolonged hypoxemia may affect retinal sublayers located within the retinal watershed zone. The aim of this study was to evaluate retinal and optic nerve OCT parameters in patients with COVID-19 illness of varying severity and compare them with controls.
View Article and Find Full Text PDFGabapentin impairs visual development in zebrafish via retinal apoptosis and thyroid disruption.
J Hazard Mater
January 2025
School of Environmental Science and Engineering, Nanjing Tech University, Jiangsu 211816, China; Sino-Portuguese Joint International Laboratory of Aquatic Toxicology, Nanjing Tech University, 30 South Puzhu Road, Nanjing, Jiangsu Province 211816, China. Electronic address:
Gabapentin (GBP), a pharmaceutical widely used for seizures and neuropathic pain, has emerged as a contaminant in global aquatic environments, raising concerns about its ecological impact. This study investigated the effects of environmentally relevant concentrations of GBP (0, 1, 10, 1000 μg/L) on visual development in zebrafish (Danio rerio). Behavioral assays showed that GBP exposure enhanced light sensitivity, as indicated by a significant increase in total travel distance (TTD) in all exposure groups compared to controls.
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