Welcoming artificial intelligence into ophthalmology

n this issue of Clinical and Experimental Ophthalmology, Li et al. provide a timely review of the application of artificial intelligence (AI)—and specifically deep learning—to the analysis of optical coherence tomography (OCT) images across eye diseases. They balance the positives with the negatives. On the one hand, an AI-based analysis of OCT can inject valuable subspecialty expertise and save considerable time. On the other hand, there is a paucity of datasets that apply to the real-world setting to train the machines...