O-122 The first study to assess the clinical efficacy of CHLOE-EQ on the assessment of embryo viability of embryos cultured in a GERI time-lapse incubator

Abstract Study question Can an automatic AI scoring system predict ploidy, live birth and utilization? Are there differences in AI scoring between donor and own gametes? Summary answer CHLOE-EQ Score is directly associated with oocyte quality, ploidy, utilization, live birth, embryo quality, direct uneven cleavage (DUC), blastulation, utilization and selection for transfer. What is known already The integration of AI algorithms, such as CHLOE-EQ, into different Time-lapse systems requires clinical and biological validation. Geri Time-lapse videos have given the embryologists more insight into embryo development. Analyzing this information manually requires time and introduces risk of error. To tackle this issue, AI solutions like CHLOE-EQ (Fairtility) can be used to automatically assess video datapoints. CHLOE-EQ provides an embryo quality score that has been shown to predict embryo viability and ploidy, providing clarity on the underlying biological factors. Before introducing AI tools in clinical practice, it is crucial to confirm their efficacy and validate with clinical data. Study design, size, duration A retrospective cohort analysis was conducted at a private clinic in Spain from April 2021 to November 2022, involving the review of 3196 Geri time-lapse videos with a subset of known ploidy and live birth outcomes. The correlation of CHLOE-EQ score with ASEBIR clinic grading was evaluated. As well as with DUCs, oocyte quality, sperm source, blastulation, utilization, selection for transfer, ploidy and live birth. Participants/materials, setting, methods Geri time-lapse videos were automatically analyzed by CHLOE-EQ (Fairtility). CHLOE-EQ score was assessed in relation to laboratory (ploidy, clinic ASEBIR embryo scoring, utilization, selection for transfer) and clinical outcomes (live birth), as well as between own vs donor gametes (own eggs >40y vs donor eggs and testicular sperm vs donor sperm) using descriptive statistics and t-test. The accuracy of prediction was measured using binary logistic regression (AUC). Main results and the role of chance CHLOE-EQ score was positively correlated with ASEBIR embryo quality (A:8.7±1.9, n = 349 >B:6.8±2.9, n = 470 > C: 5.1±3.0, n = 124 > D:1.3±2.1, n=751; p