Researchers developed machine-learning models to predict visual acuity in patients with high myopia. A cohort study of 967 patients was used to evaluate the models. The results show that a regression model accurately predicts visual acuity at 3 and 5 years, and a binary classification model can predict and visualize the risk at 5 years for individual patients, demonstrating potential in clinical assessment and monitoring.
Researchers developed machine-learning models to predict visual acuity in patients with high myopia. A cohort study of 967 patients was used to evaluate the models. The results show that a regression model accurately predicts visual acuity at 3 and 5 years, and a binary classification model can predict and visualize the risk at 5 years for individual patients, demonstrating potential in clinical assessment and monitoring. Researchers developed machine-learning models to predict visual acuity in patients with high myopia. A cohort study of 967 patients was used to evaluate the models. The results show that a regression model accurately predicts visual acuity at 3 and 5 years, and a binary classification model can predict and visualize the risk at 5 years for individual patients, demonstrating potential in clinical assessment and monitoring.