Imaging and Biomarkers in Ophthalmology
Edited by Vito Romano, Mariantonia Ferrara, Jingjing Huang Ophthalmic imaging methods are crucial for diagnosing and managing various eye pathologies, enabling improved detection and characterization of structural and functional changes in the eye. The application of Artificial Intelligence (AI) and Deep Learning in ophthalmic imaging opens up new possibilities for screening, diagnosis, monitoring, and predicting the progression of ocular conditions. This Topic Collection seeks original research and reviews on various ophthalmic imaging methods, biomarkers and the use of AI, and Deep Learning techniques in both anterior and posterior segments of the eye. Please find full details here. Submissions: Open until 5th December 2023
Slowing the Progression of Myopia
Edited by Ramesh Kekunnaya, Pavan Kumar Verkicharla The increasing prevalence of myopia, exacerbated by the COVID-19 pandemic, has become a significant public health concern. The aim of this Topic Collection is to address myopia progression to include original research and reviews on recent advances in myopia interventions including light therapies, pharmacological interventions, and behavioural changes. Please find full details here.