aceArtificial intelligence in ophthalmic optical coherence tomography angiography: a bibliometric analysis
Aim To analyze research landscapes, hotspots, and trends in artificial intelligence (AI) applied to ophthalmic optical coherence tomography angiography (OCTA) from 2015 to 2024, aiming to reveal global collaborations and guide future research. Methods We retrieved publications from Web of Science Core Collection using AI and OCTA-related search terms. After screening, 237 articles were analyzed with CiteSpace (version 6.3.R1) for co-citation, collaboration, and keyword burst analysis. Results Annual publications…
AI combined with OCTA research has advanced automated, quantitative analysis of retinal vascular imaging, showing potential for diagnosing retinal and choroidal diseases.
The reviewed literature is limited by small sample sizes and limited algorithm generalizability, and the authors say large-scale multi-center clinical validation is still needed before routine adoption.
Evidence
- Peer-reviewedInternational Journal of Ophthalmology2026-10-18
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Truvace Impact Record TRV-2026-2024, v1: “Artificial intelligence in ophthalmic optical coherence tomography angiography: a bibliometric analysis.” Truvace, 2026-10-20. /record/TRV-2026-2024 (accessed at citation time). sha256 47b504ba45a58491…
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