Lorrany Lima Ricarte, Raissa de Vasconcelos Cavalcanti, Paula Bruno Monteiro
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Abstract
This study aimed to verify, through a systematic literature review, the effects of using artificial intelligence (AI) for sperm selection in intracytoplasmic sperm injection (ICSI). Searches were conducted in the PubMed, SciELO and MEDLINE (Academic) databases, including full-text cohort studies, cross-sectional studies and clinical trials published between 2015 and April 2025 in English, Portuguese and Spanish. Animal studies, review articles, letters to the editor, case reports, duplicate records, incomplete papers and unavailable articles were excluded. Extracted data comprised author, year of publication, AI type, assessed stage/section and classification. Overall, the available evidence indicates that AI-based approaches may be effective for selecting sperm for ICSI.
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