P-301 Assessment of ongoing clinical outcomes prediction of an AI system on retrospective SET data

نویسندگان

چکیده

Abstract Study question Would patients with fresh and frozen embryo transfer had achieved pregnancy before if the was chosen by AI? Summary answer CHLOE (AI) can predict pregnancy, ongoing clinical miscarriage following a single (SET). What is known already The use of time-lapse incubators has provided embryologists more information to evaluate development, resulting in varying practices among clinics prioritizing this information. However, manual annotation videos time-consuming prone interoperator inconsistencies. To overcome these challenges, AI tools like (Fairtility) be utilized. uses AI-based predictors implantation provides clarity on biological factors driving predictions. incorporating into practice, it important validate their effectiveness. design, size, duration Single study center that took place between July 2021 December 2022 at private clinic Spain. This retrospective cohort analysis reviewed 118 from transfers 92 outcome. EQ score Rank efficacy prediction outcomes quantified using metric AUC. Participants/materials, setting, methods Time-lapse were evaluated (Fairtility), an tool, determine rank related (biochemical miscarriage) SET. embryology compared chi-square AUC calculated logistic regression measure accuracy. T-test used check differences different outcomes. Main results role chance Embryologist vs Ranking weren’t significant (p > 0.05). In SET mean 7.76, 7.07. Following SET, not-significantly predictive biochemical (AUC = 0.53, n 104, p 0.462), 0.51, 79, 0.949), rate 0.50, 68, 0.949); than embryologist for (embryologist rank: 0.05 0.61, 0.05), 0.70, 0.05) 0.75, 0.025). only top 1 embryos ranked transferred, 0.60, 85, 0.213), 0.64, 60, 0.919), 0.87, 52, 0.437); 0.59, 0.90, Limitations, reasons caution single-center where human part broader effort responsible integration practice. Wider implications findings possibility enhance consistency, efficiency, effectiveness selection. quantitative qualitative morphokinetics brings greater predictions, enabling personalized care each individual embryo. Trial registration number Not Applicable

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ژورنال

عنوان ژورنال: Human Reproduction

سال: 2023

ISSN: ['1460-2350', '0268-1161']

DOI: https://doi.org/10.1093/humrep/dead093.659