Background: The number of elderly drivers is increasing. The primary purpose of public policy requiring vision screening for driver's license renewal is to identify, and, when necessary, restrict drivers with functional vision impairments. Because of age-related ocular conditions, elderly drivers, as a group, have a higher incidence and prevalence of functionally impaired vision. To date, there is no empirical evidence of a significant predictive relationship between changes in vision function and automobile crashes.
Methods: Most states require vision screening for driver's license renewal, whereas some do not. Among those states requiring vision screening, there is considerable variation in the frequency and level of testing. Efforts to determine the role of vision in driving, while suggestive, have not been useful in identifying at-risk older drivers.
Results: Researchers have observed that older drivers are often aware of their decreased functional capacity and voluntarily adjust their driving patterns by driving less frequently, for shorter distances, during daylight hours, more slowly, and during non-rush hours. However, although not statistically significant, the decline in the mean annual traffic fatality rates with increased state vision screening requirements suggests a possible beneficial effect of vision screening.
Conclusions: Because older drivers are at risk for sight-threatening conditions, they are most affected by vision screening requirements for driver's license renewal. Since a loss of driving privileges represents a major loss of mobility and independence, there is a pressing need to better understand the relationship between age-related vision changes and the frequency and severity of traffic crashes.
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PLoS One
January 2025
School of Optometry and Vision Science, UNSW Sydney, Sydney, New South Wales, Australia.
Purpose: In this study, we investigated the performance of deep learning (DL) models to differentiate between normal and glaucomatous visual fields (VFs) and classify glaucoma from early to the advanced stage to observe if the DL model can stage glaucoma as Mills criteria using only the pattern deviation (PD) plots. The DL model results were compared with a machine learning (ML) classifier trained on conventional VF parameters.
Methods: A total of 265 PD plots and 265 numerical datasets of Humphrey 24-2 VF images were collected from 119 normal and 146 glaucomatous eyes to train the DL models to classify the images into four groups: normal, early glaucoma, moderate glaucoma, and advanced glaucoma.
Clin Ophthalmol
January 2025
Retina Service, Massachusetts Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA.
Purpose Of Review: Intimate partner violence (IPV) is a leading cause of death and disability across the world. We sought to investigate the prevalence and clinical presentation of ocular injuries in IPV.
Recent Findings: Literature review revealed 16 published studies that evaluated ocular injuries in IPV, of which the study types included 9 retrospective studies, 2 prospective, 1 review, 1 invited commentary, 2 case reports, and 1 population-based cross-sectional survey.
Biotechnol Bioeng
January 2025
State Key Laboratory of Bioreactor Engineering, Qingdao Innovation Institute of East China University of Science and Technology, East China University of Science and Technology, Shanghai, China.
High-performance strain and corresponding fermentation process are essential for achieving efficient biomanufacturing. However, conventional offline detection methods for products are cumbersome and less stable, hindering the "Test" module in the operation of "Design-Build-Test-Learn" cycle for strain screening and fermentation process optimization. This study proposed and validated an innovative research paradigm combining computer vision with deep learning to facilitate efficient strain selection and effective fermentation process optimization.
View Article and Find Full Text PDFObjective: The aim of this study was to assess the prevalence of diabetic retinopathy (DR) and retina screening coverage among people with diabetes in the catchment area of a high-volume eye care organisation in north India.
Design: A population-based cross-sectional study using Rapid Assessment of Avoidable Blindness survey, including the DR module.
Setting: A customised rural district in the catchment of Dr Shroff's Charity Eye Hospital in Uttar Pradesh in north India.
J Pediatr Endocrinol Metab
January 2025
Division of Pediatric Neurology, Department of Pediatrics and Child Health, Erciyes University, Faculty of Medicine, Kayseri, Türkiye.
Objectives: Tangier disease (TD) is a rare autosomal recessive condition characterized by high-density lipoprotein (HDL) deficiency; involving symptoms of polyneuropathy, hyperplastic orange-yellow tonsils, vision disorder, and sudden cardiac death. The major clinical symptoms of TD may not all be co-present. This study evaluates patients diagnosed with TD in childhood to improve the possibility of early diagnosis of asymptomatic cases by reporting our patients' clinical characteristics in order to minimize delayed diagnosis and emphasize the importance of TD, easily detected by HDL measurement.
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