Application of artificial intelligence in myopia prevention and control
Current applications of artificial intelligence (AI) in the field of myopia prevention and control were comprehensively reviewed. Challenges, current development status, and future directions of AI have also been discussed, holding great significance for the further application of AI in myopia management.
Nan Liu, Li Li, Jifeng Yu
wiley +1 more source
Workplace Wellness Support Enhances Health and Mental Well-Being in Optometrists. [PDF]
Melnyk BM+3 more
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Abstract Purpose To evaluate the effectiveness of 12 months of spectacle lens wear incorporating cylindrical annular refractive elements (CARE) in slowing myopia progression compared to single vision (SV) spectacle wear. Methods In an ongoing 2‐year prospective, double‐masked, multi‐centre clinical trial, 240 Chinese children aged 6–13 years, spherical
Xiaoqin Chen+10 more
wiley +1 more source
Correction: Polygenic Risk Score Impact on Visual Function in Older Individuals with Healthy Macula: The Northern Ireland Sensory Ageing Study. [PDF]
Tang F+5 more
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Abstract Purpose To investigate 2‐year changes in macular choroidal thickness (ChT) in children receiving 0.01% atropine eyedrops and its relationship with spherical equivalent refraction (SER) progression and axial length (AL) elongation. Methods A total of 250 myopic children aged 6–16 years (167%–0.01% atropine, 83‐placebo) were enrolled in the ...
Emmanuel Kobia‐Acquah+3 more
wiley +1 more source
Refractive Error and Axial Length (REAL) Study: Feasibility of a population study in the United States. [PDF]
Singh SE+10 more
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Abstract Objective To evaluate the effects of customized corneal collagen cross‐linking (CXL) on higher‐order aberrations (HOAs) in keratoconus (KC): vertical coma (VC), horizontal coma (HC), spherical aberration (SA), trefoil (TF) and astigmatism, compared with the same effects in healthy eyes undergoing CXL for low‐grade myopia.
Jad Hayek+4 more
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Empowering students to bridge basic and clinical sciences by creating innovative optometric tools. [PDF]
Leung TW.
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Prototype master protocol for benchmarking of real‐world follow‐up data in glaucoma
Abstract Purpose The purpose of this study was to create a prototype master protocol for benchmarking glaucoma real‐world data (RWD). Benchmarking is part of the digital innovation strategy of the Finnish aces‐rwm ecosystem (automation of care and evaluation of the system with real‐world monitoring).
Pekko Hujanen+7 more
wiley +1 more source
Evaluating Eye Care Services in South Africa's Limpopo Province Using Donabedian`s Framework: Insights into Structures, Processes, and Outcomes. [PDF]
Masemola HC, Baloyi O, Xulu-Kasaba ZN.
europepmc +1 more source