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- Embryo Selection in IVF: Integrating AI Scoring Systems with Traditional Morphology Assessment
Embryo Selection in IVF: Integrating AI Scoring Systems with Traditional Morphology Assessment
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Presented by NUWA Fertility at the 2024 European Society of Human Reproduction and Embryology (ESHRE)
At the 2024 ESHRE annual meeting, NUWA Fertility presented a study comparing AI-based embryo scoring systems (iDAScore® v2.0 and KIDScore™ D5 v3.2) with traditional morphological evaluation in the context of single euploid blastocyst transfer. The goal was to identify the most effective strategy for selecting the embryo with the highest implantation potential.
Background: Optimizing Single Euploid Embryo Transfer Success
Once a chromosomally normal (euploid) embryo is identified through PGT-A (Preimplantation Genetic Testing for Aneuploidy), the next challenge is selecting the embryo with the greatest implantation potential.
This study compared the predictive value of several embryo selection tools—including AI-driven scoring systems and conventional morphology grading—in order to improve the success rate of single embryo transfer (SET).
Research question: Which embryo selection tool performs best for single euploid blastocyst transfers: iDAScore® v2.0, KIDScore™ D5 v3.2, or traditional morphological grading?
Findings: The Power of Integrating AI and Morphokinetics
The study found that integrating AI scoring systems, morphokinetic data, and traditional embryology provides a viable and potentially superior strategy for embryo selection in IVF.
AI scoring systems (such as iDAScore® and KIDScore™) offer objective, standardized evaluations.
Morphokinetic data provide insights into early embryo development dynamics. Embryologist expertise adds a layer of clinical context and judgment. Combining these tools may lead to more comprehensive assessments of implantation potential, ultimately improving the success of single euploid embryo transfers.
Clinical Implications: Advancing Toward Precision Embryo Selection
This research supports a new direction in embryo selection:
By integrating AI tools, time-lapse developmental data, and traditional morphological assessment, IVF clinics can enhance consistency, objectivity, and efficiency in embryo selection.
NUWA Fertility remains committed to applying the latest technologies in embryology, offering patients more precise and personalized IVF treatment strategies to improve their chances of success.
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