Comprehensive Summary
This article delves into the rise of ‘oculomics’ and artificial intelligence techniques in healthy aging, retinal imaging, and viewing of microvascular circulation and how it can be implemented into real-world healthcare. This article utilizes the retrospective summarization of the rapidly evolving use of artificial intelligence to enhance ophthalmic imaging. Optical coherence tomography (OCT), OCT angiography (OCTA) and wide-field imaging are being integrated into algorithms to predict and manage a wide variety of diseases contributing to the overall effectiveness in the field. There is a shift towards holistic ‘oculomics’ platforms and the utilization of multicenter trials which need to happen before widescale clinical adoption.
Outcomes and Implications
The use of artificial intelligence when applied to retinal imaging can enhance the diagnosis and management of not only ophthalmic diseases but also various systemic diseases. While there is the possibility of significant clinical advances in long-term real world healthcare settings, there are significant challenges that still need to be addressed.