• This study analyzed 2,471 Web of Science articles (2015–2024) via CiteSpace 6.4 and Excel to map OCT/OCTA research hotspots and trends in AMD. • The U.S. led global research in publications (850) and H-index, followed by China, with the University of California System as the most prolific institution. • Core focuses included GA, CNV, anti-VEGF therapies, while post-2021 bursts featured AI, MNV, HRF, and lesion progression prediction. • OCT/OCTA’s non-invasive vascular imaging AI-driven classification optimize AMD diagnosis, treatment monitoring, and personalized care. • Future trends involve multimodal imaging, HRF validation, AI trajectory prediction, and technique standardization for AMD precision management. To map research hotspots and emerging trends of Optical Coherence Tomography (OCT) and Optical Coherence Tomography Angiography (OCTA) in Age-related Macular Degeneration (AMD) from 2015–2024 using bibliometric analysis. We searched the Web of Science Core Collection (2015–2024) on January 2025, identified 2,471 English-language articles on OCT/OCTA in AMD, and extracted data on countries, institutions, journals, keywords, and citations. CiteSpace 6.4 and Excel were used for co-occurrence/co-citation analyses and visualization; H-indexes were compiled for countries and institutions. Seventy-eight countries/regions contributed to the field; the United States led in publications and H-index, followed by China. Among 200 institutions, the University of California System produced the most studies and showed the highest influence. Publication output increased steadily ( R 2 ≈0.69). Core topics clustered around geographic atrophy (GA), choroidal neovascularization (CNV), ranibizumab, OCT, and AMD. Recent keyword bursts highlighted macular neovascularization (MNV), hyperreflective foci (HRF), deep learning, impact, and growth. High-impact literature underscored OCT/OCTA’s noninvasive vascular imaging utility, anti-VEGF treatment outcomes, GA progression metrics, and rapid advances in AI-driven detection/segmentation and prognostication. Meta-analyses reported high diagnostic accuracy of OCTA for CNV, while technical challenges (e.g., signal-to-noise) persist. Emerging themes include multimodal integration, biomarkers such as hyperreflective foci for prognosis, and time-series/AI models for predicting GA/CNV trajectories and personalizing treatment intervals. OCT and OCTA research in AMD has expanded substantially, with the U.S. and leading academic centers driving influence. Integrating AI with OCT/OCTA enables earlier detection, refined phenotyping, and data-informed, personalized management. Advancing precision and standardization will further improve diagnostic accuracy and therapeutic decision-making in AMD.
Liao et al. (2026) studied this question.