AIMC Topic: Myopia
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The accuracy of intraocular lens power calculation formulas based on artificial intelligence in highly myopic eyes: a systematic review and network meta-analysis.
Frontiers in public health
Nov 9, 2023
OBJECTIVE: To systematically compare and rank the accuracy of AI-based intraocular lens (IOL) power calculation formulas and traditional IOL formulas in highly myopic eyes.
Deep Learning Based Prediction of Myopia Control Effect in Children Treated With Overnight Orthokeratology.
Eye & contact lens
Nov 7, 2023
OBJECTIVES: To develop and validate a deep learning-based model for predicting 12-month axial length (AL) elongation using baseline factors and early corneal topographic changes in children treated with orthokeratology (Ortho-K) and to investigate th...
Multimodal Deep Learning Classifier for Primary Open Angle Glaucoma Diagnosis Using Wide-Field Optic Nerve Head Cube Scans in Eyes With and Without High Myopia.
Journal of glaucoma
Jul 19, 2023
PRCIS: An optical coherence tomography (OCT)-based multimodal deep learning (DL) classification model, including texture information, is introduced that outperforms single-modal models and multimodal models without texture information for glaucoma di...
Development of a deep learning system to detect glaucoma using macular vertical optical coherence tomography scans of myopic eyes.
Scientific reports
May 17, 2023
Myopia is one of the risk factors for glaucoma, making accurate diagnosis of glaucoma in myopic eyes particularly important. However, diagnosis of glaucoma in myopic eyes is challenging due to the frequent associations of distorted optic disc and dis...
Deep Learning-Based Estimation of Implantable Collamer Lens Vault Using Optical Coherence Tomography.
American journal of ophthalmology
May 3, 2023
PURPOSE: To develop and validate a deep learning neural network for automated measurement of implantable collamer lens (ICL) vault using anterior segment optical coherence tomography (AS-OCT).
Myopia prediction for children and adolescents via time-aware deep learning.
Scientific reports
Apr 3, 2023
This is a retrospective analysis. Quantitative prediction of the children's and adolescents' spherical equivalent based on their variable-length historical vision records. From October 2019 to March 2022, we examined uncorrected visual acuity, sphere...
Diagnostic ability of macular microvasculature with swept-source OCT angiography for highly myopic glaucoma using deep learning.
Scientific reports
Mar 30, 2023
Macular OCT angiography (OCTA) measurements have been reported to be useful for glaucoma diagnostics. However, research on highly myopic glaucoma is lacking, and the diagnostic value of macular OCTA measurements versus OCT parameters remains inconclu...
Deep learning-based 3D OCT imaging for detection of lamina cribrosa defects in eyes with high myopia.
Scientific reports
Dec 23, 2022
The lamina cribrosa (LC) is a collagenous tissue located in the optic nerve head, and its dissection is observed in eyes with pathologic myopia as a LC defect (LCD). The diagnosis of LCD has been difficult because the LC is located deep beneath the r...
Global trends and frontiers of research on pathologic myopia since the millennium: A bibliometric analysis.
Frontiers in public health
Dec 6, 2022
BACKGROUND AND PURPOSE: Pathologic myopia (PM) is an international public health issue. This study aimed to analyze PM research trends by reporting on publication trends since 2000 and identifying influential journals, countries, authors, and keyword...
Deep learning for predicting refractive error from multiple photorefraction images.
Biomedical engineering online
Aug 8, 2022
BACKGROUND: Refractive error detection is a significant factor in preventing the development of myopia. To improve the efficiency and accuracy of refractive error detection, a refractive error detection network (REDNet) is proposed that combines the ...
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