The video shows our work for the automated screening and semantic segmentation of age-related and juvenile atrophic macular degeneration using an artificial intelligence (AI) technique of deep learning. It also demonstrates the derived applications of the deep learning algorithms for the assessment and prediction of progression of atrophic lesions, and the screening of high risk age-related macular degeneration patients based on early biomarkers using our deep learning approach. Our AI-based segmentation, screening, and prediction algorithms have great potential to be translated to applications in clinical research and clinical practice in ophthalmology and generate important impact. 

Ziyuan Wang, SriniVas R. Sadda, Zhihong Hu, "Deep learning for automated screening and semantic segmentation of age-related and juvenile atrophic macular degeneration," Proc. SPIE 10950, Medical Imaging 2019: Computer-Aided Diagnosis, 109501Q (13 March 2019);