AIMC Topic: Myopia
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Development and evaluation of a deep neural network model for orthokeratology lens fitting.
Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists)
Jul 9, 2024
PURPOSE: To optimise the precision and efficacy of orthokeratology, this investigation evaluated a deep neural network (DNN) model for lens fitting. The objective was to refine the standardisation of fitting procedures and curtail subjective evaluati...
Automated eyeball volume measurement based on CT images using neural network-based segmentation and simple estimation.
Scientific reports
Jul 2, 2024
With the increase in the dependency on digital devices, the incidence of myopia, a precursor of various ocular diseases, has risen significantly. Because myopia and eyeball volume are related, myopia progression can be monitored through eyeball volum...
Comparing the accuracy of intraocular lens power calculation formulas using artificial intelligence and traditional formulas in highly myopic patients: a meta-analysis.
International ophthalmology
Jun 21, 2024
PURPOSE: The accuracy of intraocular lens (IOL) calculations is one of the key indicators for determining the success of cataract surgery. However, in highly myopic patients, the calculation errors are relatively larger than those in general patients...
Artificial Intelligence-Assisted Prescription Determination for Orthokeratology Lens Fitting: From Algorithm to Clinical Practice.
Eye & contact lens
May 2, 2024
OBJECTIVES: To explore the potential of artificial intelligence (AI) to assist prescription determination for orthokeratology (OK) lenses.
Developing and validating a clinlabomics-based machine-learning model for early detection of retinal detachment in patients with high myopia.
Journal of translational medicine
Apr 30, 2024
BACKGROUND: Retinal detachment (RD) is a vision-threatening disorder of significant severity. Individuals with high myopia (HM) face a 2 to 6 times higher risk of developing RD compared to non-myopes. The timely identification of high myopia-related ...
Machine learning-based nomogram to predict poor response to overnight orthokeratology in Chinese myopic children: A multicentre, retrospective study.
Acta ophthalmologica
Mar 22, 2024
PURPOSE: To develop and validate an effective nomogram for predicting poor response to orthokeratology.
Algorithmic and sensor-based research on Chinese children's and adolescents' screen use behavior and light environment.
Frontiers in public health
Feb 22, 2024
BACKGROUND: Myopia poses a global health concern and is influenced by both genetic and environmental factors. The incidence of myopia tends to increase during infectious outbreaks, such as the COVID-19 pandemic. This study examined the screen-time be...
Initiation of China Alliance of Research in High Myopia (CHARM): protocol for an AI-based multimodal high myopia research biobank.
BMJ open
Dec 27, 2023
INTRODUCTION: High myopia is a pressing public health concern due to its increasing prevalence, younger trend and the high risk of blindness, particularly in East Asian countries, including China. The China Alliance of Research in High Myopia (CHARM)...
Development and validation of a deep learning model to predict axial length from ultra-wide field images.
Eye (London, England)
Dec 15, 2023
BACKGROUND: To validate the feasibility of building a deep learning model to predict axial length (AL) for moderate to high myopic patients from ultra-wide field (UWF) images.
Artificial intelligence in glaucoma detection using color fundus photographs.
Indian journal of ophthalmology
Dec 15, 2023
PURPOSE: To explore the potential of artificial intelligence (AI) for glaucoma detection using deep learning algorithm and evaluate its accuracy for image classification of glaucomatous optic neuropathy (GON) from color fundus photographs.
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