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This study aims to conduct a comprehensive bibliometric and thematic mapping analysis of global research at the intersection of endometriosis and artificial intelligence (AI). Using bibliographic data indexed in the Scopus database between 2001 and 2026, the study investigates temporal publication trends, citation patterns, prolific countries, collaborative networks, prominent journals, institutions, key authors, AI methodological distributions (e.g., machine learning, deep learning), and specific thematic clinical domains (e.g., diagnostic imaging, biomarkers/omics).
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Zortuk et al. (2026) studied this question.
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