Development and validation of a deep learning model to predict visual and anatomical prognosis of anti-VEGF therapy for neovascular age-related macular degeneration (KongMing Study): a prospective, na
3 hours ago
- #Deep Learning
- #Predictive Modeling
- #Ophthalmology
- The KongMing Study developed and validated a deep learning model to predict visual and anatomical outcomes of anti-VEGF therapy for neovascular age-related macular degeneration.
- Using a prospective, multicenter design across China, the model was trained on OCT images and clinical data, achieving high accuracy in predicting BCVA changes and OCT image similarity post-treatment.
- The model outperformed both convolutional neural networks and ophthalmologists in human-machine comparisons, offering a non-invasive tool for personalized treatment planning.