The rise of deep learning and artificial intelligence in retinal disease, and all of ophthalmology, is proceeding at a staggering pace.
The innovations over the last several years have laid the foundation for a revolution in the way we care for patients. Use cases for AI and deep learning (DL) include image analysis, disease progression or treatment response prediction, interaction with patients and dissemination of information to patients, and treatment optimization. In clinical trials, AI and DL are poised to improve the entire process of understanding how new medicines affect patients and