Introduction: Neovascular age-related macular degeneration (AMD) is one of the most common causes of blindness among the elderly population. Treatment adherence requires frequent and sometimes unnecessary follow-up clinic visits that might contribute to physician, patient and caregiver burdens, especially, nowadays, when the elderly population is apprehensive about physically attending the ophthalmology clinic. Daily patient self-imaging with automated artificial intelligence-based OCT image analysis permits detailed characterization of the dynamics of fluid exudation and treatment response and facilitates treatment adherence. Metrics describing the temporal fluid volume dynamics may become important disease biomarkers. Home OCT telemedicine systems represent an alternative paradigm of disease monitoring; they may allow highly personalized retreatment decisions, with fewer unnecessary injections and clinic visits as well as well-founded selection of drug and drug delivery method. Areas covered: This review will discuss recent progress in home OCT monitoring, its role in quantification of disease biomarkers, the mode of operation of these type of devices and what is required for such a system to operate successfully. Expert opinion: In our opinion, various models of AI, machine learning and telemedicine will be implemented into medicine and will be feasible in the near future.
- artificial intelligence
- personalized medicine