Key result
Artificial intelligence-based optical coherence tomography analysis offers distinct clinical benefits and limitations compared to manual assessment for thin-cap fibroatheroma detection.
Why the study?
Does AI-based OCT analysis improve the identification of thin-cap fibroatheroma compared to manual analysis?
Does AI-based OCT analysis improve the identification of thin-cap fibroatheroma compared to manual analysis?
This article discusses the clinical benefits and limitations of AI-based versus manual OCT analysis for detecting thin-cap fibroatheroma.
Graphical AbstractThe clinical benefits and limitations of AI-based versus manual OCT analysis for thin-cap fibroatheroma detection.
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Lee et al. (2025) studied this question. Artificial intelligence-based optical coherence tomography analysis offers distinct clinical benefits and limitations compared to manual assessment for thin-cap fibroatheroma detection.
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