Artificial intelligence (AI) is a subset of computer science dealing with the development and training of algorithms that try to replicate human intelligence. We report a clinical overview of the basic principles of AI that are fundamental to appreciating its application to ophthalmology practice. Here, we review the most common eye diseases, focusing on some of the potential challenges and limitations emerging with the development and application of this new technology into ophthalmology.

Glaucoma is a multifactorial neurodegenerative illness requiring early diagnosis and strict monitoring of the disease progression. Current exams for diagnosis and prognosis are based on clinical examination, intraocular pressure (IOP) measurements, visual field tests, and optical coherence tomography (OCT). In this scenario, there is a critical unmet demand for glaucoma-related biomarkers to enhance clinical testing for early diagnosis and tracking of the disease’s development. The introduction of validated biomarkers would allow for prompt intervention in the clinic to help with prognosis prediction and treatment response monitoring. This review aims to report the latest acquisitions on biomarkers in glaucoma, from imaging analysis to genetics and metabolic markers.

Purpose: To assess relationships between demographics, clinical characteristics, and optical coherence tomography characteristics with persistence of metamorphopsia after resolution of subretinal fluid in eyes with chronic central serous chorioretinopathy. Methods: One-hundred participants with “resolved” (absence of subretinal fluid) chronic central serous chorioretinopathy were retrospectively analyzed. Patients underwent a complete ophthalmologic evaluation, including assessment of the presence of metamorphopsia. At the study visit, optical coherence tomography scans were reviewed for qualitative and quantitative features. Results: Sixty-six of 100 patients (66.0%) complained of metamorphopsia. Both the foveal and parafoveal ganglion cell complex thicknesses were thinner in central serous chorioretinopathy eyes with metamorphopsia (35.1 ± 10.6 µm and 82.0 ± 18.1 µm vs. 40.7 ± 11.8 µm and 93.1 ± 13.5 µm, P = 0.030 and P < 0.0001). In the foveal region, the outer plexiform layer and outer nuclear layer thicknesses were thinner in patients with metamorphopsia (24.6 ± 8.5 µm and 63.1 ± 20.9 µm vs. 29.1 ± 8.7 and 76.2 ± 18.2 µm, P = 0.016 and P = 0.005). The ellipsoid zone band was more frequently discontinued in eyes with metamorphopsia (56.1% vs. 35.3%, P = 0.039). Multivariate stepwise linear regression analysis demonstrated that the strongest associations with the presence of metamorphopsia were with parafoveal ganglion cell complex thickness (P = 0.004), foveal outer nuclear layer thickness (P = 0.010), and number of previous recurrences of subretinal fluid accumulation (P = 0.017). The time interval from the last subretinal fluid resolution was not associated with the presence of metamorphopsia. Conclusion: In “resolved” central serous chorioretinopathy, clinical aspects (i.e., number of previous recurrences) and structural changes (i.e., ganglion cell complex and outer nuclear layer thinning) are associated with metamorphopsia after subretinal fluid resolution.