ReviewJournal of reproduction & infertility
Embryo Culture Systems and Morphokinetics in IVF: The Role of Time-Lapse Monitoring and Artificial Intelligence in Embryo Selection.
Review in Journal of reproduction & infertility. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Embryo selection and culture conditions are critical determinants of success in assisted reproductive technology (ART). Despite advances, implantation and live birth rates following in vitro fertilization (IVF) remain suboptimal. This systematic review evaluated the effects of embryo culture media (sequential versus single-step), time-lapse monitoring (TLM), and artificial intelligence (AI)-based embryo selection on IVF outcomes. Methods: This systematic review followed PRISMA guidelines. PubMed, Scopus, and Web of Science were searched through June 2025. Twenty-nine studies involving over 18,500 IVF/intracytoplasmic sperm injection (ICSI) cycles were included. Methodological quality was assessed using RoB2, the Newcastle-Ottawa Scale, and CLAIM according to study design. Outcomes related to culture media, TLM-derived morphokinetics, and AI-based embryo assessment were synthesized narratively. Results: Sequential and single-step culture media produced comparable clinical outcomes, although single-step media showed a modest increase in blastocyst formation (57.1% Conclusion: Culture media selection appears to have limited influence on clinical outcomes, whereas TLM and AI-assisted embryo selection show promise for improving embryo assessment. Integration of validated AI-driven TLM systems into IVF practice may enhance embryo selection efficiency. Further large, prospective studies are needed to establish standardized clinical protocols.
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Registered trials
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