Blastocyst expansion speed assay: a putative artificial intelligence-powered tool for embryo selection. Retrospective study involving 2184 blastocysts and 786 PGT-A cycles

被引:0
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作者
Innocenti, F. [1 ]
Marconetto, A. [2 ]
Trio, S. [3 ]
Canosi, T. [4 ]
Taggi, M. [1 ]
Saturno, G. [1 ]
Chiappetta, V. [1 ]
Soscia, D. M. [1 ,5 ]
Albricci, L. [1 ]
Kantor, B. [6 ]
Dvorkin, M. [6 ]
Svensson, A. [6 ]
Coticchio, G. [7 ]
Rienzi, L. [1 ,8 ]
Cimadomo, D. [1 ]
机构
[1] GENERA Clin Valle Giulia, IVIRMA Global Res Alliance, Rome, Italy
[2] Natl Univ Cordoba, Univ Inst Reprod Med, Cordoba, Argentina
[3] Demetra, IVIRMA Global Res Alliance, Florence, Italy
[4] Univ Pavia, Dept Biol & Biotechnol Lazzaro Spallanzani, Pavia, Italy
[5] Univ Tor Vergata, Dept Biomed & Prevent, Rome, Italy
[6] Fairtility Ltd, Tel Aviv, Israel
[7] 9 Baby, IVIRMA Global Res Alliance, Bologna, Italy
[8] Univ Urbino Carlo Bo, Dept Biomol Sci, Urbino, Italy
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中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
O-127
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页数:2
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  • [1] Can artificial intelligence outperform traditional non-invasive assessments in prioritizing euploid blastocysts for transfer? A retrospective intra-cohort analysis of 786 PGT-A cycles
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    [J]. HUMAN REPRODUCTION, 2024, 39