AIMC Topic: Myopia

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Explainable Machine Learning Approach as a Tool to Understand Factors Used to Select the Refractive Surgery Technique on the Expert Level.

Translational vision science & technology
PURPOSE: Recently, laser refractive surgery options, including laser epithelial keratomileusis, laser in situ keratomileusis, and small incision lenticule extraction, successfully improved patients' quality of life. Evidence-based recommendation for ...

Prediction of Myopia in Adolescents through Machine Learning Methods.

International journal of environmental research and public health
According to literature, myopia has become the second most common eye disease in China, and the incidence of myopia is increasing year by year, and showing a trend of younger age. Previous researches have shown that the occurrence of myopia is mainly...

Applying Machine Learning Techniques in Nomogram Prediction and Analysis for SMILE Treatment.

American journal of ophthalmology
PURPOSE: To analyze the outcome of machine learning technique for prediction of small incision lenticule extraction (SMILE) nomogram.

Discrimination of indoor versus outdoor environmental state with machine learning algorithms in myopia observational studies.

Journal of translational medicine
BACKGROUND: Wearable smart watches provide large amount of real-time data on the environmental state of the users and are useful to determine risk factors for onset and progression of myopia. We aim to evaluate the efficacy of machine learning algori...

Corneal power evaluation after myopic corneal refractive surgery using artificial neural networks.

Biomedical engineering online
BACKGROUND: Efficacy and high availability of surgery techniques for refractive defect correction increase the number of patients who undergo to this type of surgery. Regardless of that, with increasing age, more and more patients must undergo catara...

Development of machine learning-based models for vault prediction in implantable collamer lens surgery according to implant orientation.

Journal of cataract and refractive surgery
PURPOSE: To develop a prediction model based on machine learning to calculate the postoperative vault and the ideal implantable collamer lens (ICL) size, considering for the first time the implantation orientation in a White population.