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INTRODUCTION: This study investigates the early temporal changes in pigment epithelial detachment (PED) morphology following treatment with faricimab in patients with neovascular age-related macular degeneration (nAMD). Utilizing an artificial intelligence (AI)-assisted approach, we provide a detailed quantification and characterization of the dynamics of these morphological changes. METHODS: A prospective observational study was conducted on 22 eyes from 22 treatment-naïve patients with nAMD-associated PED (presenting either type 1 or type 3 macular neovascularization). Participants were administered intravitreal faricimab (6 mg) at baseline and at days 30, 60, and 90. Comprehensive ophthalmic evaluations and spectral-domain optical coherence tomography (SD-OCT) imaging were conducted at baseline and at seven additional follow-up visits on days 1, 7, 14, 30, 60, 90, and 120. An AI-based automated segmentation algorithm was utilized to precisely quantify changes in PED volume, alongside intraretinal (IRF) and subretinal fluid (SRF) volumes, at each time point. RESULTS: Treatment with faricimab resulted in a significant reduction in mean PED volume, with an average decrease of 12% at day 1, 29% at day 7, 51% at day 14, 68% at day 30, 72% at day 60, 79% at day 90, and 84% at day 120 (p < 0.0001 for all time points). Similarly rapid and marked reductions were noted in both mean IRF (23.5% at day 1, 90.7% at day 14) and SRF (14.4% at day 1, 91.2% at day 14) volumes. The study also showed a statistically significant improvement in best-corrected visual acuity (BCVA) over the follow-up period, correlating with the reduction in PED volume. CONCLUSION: Faricimab demonstrates early and significant efficacy in improving PED architecture in patients with nAMD. The rapid morphological improvements observed in this study suggest faricimab may represent a valid therapeutic option for PEDs associated with nAMD.
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PURPOSE: This narrative review aims to provide an overview of the dangers, controversial aspects, and implications of artificial intelligence (AI) use in ophthalmology and other medical-related fields. METHODS: We conducted a decade-long comprehensive search (January 2013-May 2023) of both academic and grey literature, focusing on the application of AI in ophthalmology and healthcare. This search included key web-based academic databases, non-traditional sources, and targeted searches of specific organizations and institutions. We reviewed and selected documents for relevance to AI, healthcare, ethics, and guidelines, aiming for a critical analysis of ethical, moral, and legal implications of AI in healthcare. RESULTS: Six main issues were identified, analyzed, and discussed. These include bias and clinical safety, cybersecurity, health data and AI algorithm ownership, the "black-box" problem, medical liability, and the risk of widening inequality in healthcare. CONCLUSION: Solutions to address these issues include collecting high-quality data of the target population, incorporating stronger security measures, using explainable AI algorithms and ensemble methods, and making AI-based solutions accessible to everyone. With careful oversight and regulation, AI-based systems can be used to supplement physician decision-making and improve patient care and outcomes.
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Artificial Intelligence , Ophthalmology , Humans , Algorithms , Artificial Intelligence/ethics , Databases, Factual , MoralsABSTRACT
The coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 was one of the most devastating public health issues in recent decades. The ophthalmology community is as concerned about the COVID-19 pandemic as the global public health community is, as COVID-19 was recognized to affect multiple organs in the human body, including the eyes, early in the course of the outbreak. Ophthalmic manifestations of COVID-19 are highly variable and could range from mild ocular surface abnormalities to potentially sight and life-threatening orbital and neuro-ophthalmic diseases. Furthermore, ophthalmic manifestations may also be the presenting or the only findings in COVID-19 infections. Meanwhile, global vaccination campaigns to attain herd immunity in different populations are the major strategy to mitigate the pandemic. As novel vaccinations against COVID-19 emerged, so were reports on adverse ophthalmic reactions potentially related to such. As the world enters a post-pandemic state where COVID-19 continues to exist and evolve as an endemic globally, the ophthalmology community ought to be aware of and keep abreast of the latest knowledge of ophthalmic associations with COVID-19 and its vaccinations. This review is a summary of the latest literature on the ophthalmic manifestations of COVID-19 and the adverse ophthalmic reactions related to its vaccinations.