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Uncorrected refractive error is the leading cause of vision impairment in children globally, and studies have demonstrated that spectacle correction addresses the large majority of childhood vision impairment. Furthermore, trial evidence illustrates the beneficial impact of spectacles on learning, with effect sizes exceeding that of other school health interventions. While it is established that good vision is important for learning and optimising childhood development and quality of life, many countries lack healthcare systems that provide vision screening or universal access to eyecare for all citizens. This review examined school vision screening across several regions/countries, focusing on conditions that should be targeted and the corresponding interventions. The range of international models, the status of global refractive service coverage and measures needed for improvement are discussed. Vision screening protocols need to effectively detect vision impairment, seamlessly connect with intervention services to deliver spectacles and signpost for future access to eyecare. Conditions which may not be treatable with spectacles alone, including amblyopia, strabismus and other ocular diseases, also warrant signposting for treatment. The vision community must unite to urge governments to invest in building service capacity; allocating the necessary resources and effectively developing public health systems to support vision screening and access to eyecare. Schools play a crucial role in enabling population-based vision screening and need to be supported with eyecare interventions and resources. This will ensure optimised approaches to correct avoidable vision loss and provide children with the educational and health outcomes they deserve.
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http://dx.doi.org/10.1136/bjo-2024-326726 | DOI Listing |
Front Pediatr
August 2025
Department of Ophthalmology, Peking University People's Hospital, Beijing, China.
Background: The m.3243A>G mutation in the MT-TL1 gene is the most common mtDNA mutation. The mutation can lead to a spectrum of conditions, including diabetes, hearing loss, heart and muscle involvement, encephalopathy and epilepsy, gastrointestinal problems, and vision impairment, often occurring concurrently-collectively referred to as MELAS (mitochondrial encephalopathy lactic acidosis and stroke-like episodes) syndrome.
View Article and Find Full Text PDFFront Behav Neurosci
August 2025
Department of Orthopedic Surgery, Inha University Hospitals, Incheon, Republic of Korea.
Recent breakthroughs in marker-less pose-estimation have driven a significant transformation in computer-vision approaches. Despite the emergence of state-of-the-art keypoint-detection algorithms, the extent to which these tools are employed and the nature of their application in scientific research has yet to be systematically documented. We systematically reviewed the literature to assess how pose-estimation techniques are currently applied in rodent (rat and mouse) models.
View Article and Find Full Text PDFClin Ophthalmol
August 2025
University of Virginia School of Medicine, Charlottesville, VA, USA.
Purpose: Diabetic retinopathy (DR) is a leading cause of vision loss in working-age adults. Despite the importance of early DR detection, only 60% of patients with diabetes receive recommended annual screenings due to limited eye care provider capacity. FDA-approved AI systems were developed to meet the growing demand for DR screening; however, high costs and specialized equipment limit accessibility.
View Article and Find Full Text PDFJ AAPOS
September 2025
Department of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel; Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.
Of 894,375 Israeli adolescents undergoing standardized medical and ocular assessments in our nationwide cross-sectional study, 2,622 (0.3%) had autism spectrum disorder (ASD). Adolescents with ASD had significantly higher adjusted odds of both myopia and astigmatism compared with peers who did not have ASD.
View Article and Find Full Text PDFComput Biol Med
September 2025
U.O.C. Ematologia e Terapia Cellulare, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, Italy.
Artificial intelligence is revolutionizing health care, particularly in precision medicine and noninvasive diagnostics. Anemia, which is a widespread condition that affects billions of people worldwide, compromises oxygen transport due to low hemoglobin levels, which leads to severe complications if left undetected. Early and frequent monitoring is essential, yet traditional blood tests can be invasive, costly, and impractical for continuous assessment.
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