Can artificial intelligence outperform traditional non-invasive assessments in prioritizing euploid blastocysts for transfer? A retrospective intra-cohort analysis of 786 PGT-A cycles

被引：0

作者：

Cimadomo, D. ^{[1
]}

Cimadomo, V. ^{[2
]}

Innocenti, F. ^{[1
]}

Taggi, M. ^{[1
]}

Saturno, G. ^{[1
]}

Chiappetta, V. ^{[1
]}

Casciani, V. ^{[1
]}

Albricci, L. ^{[1
]}

Coticchio, G. ^{[3
]}

Ahlstrom, A. ^{[4
]}

Canosa, S. ^{[5
]}

Vaiarelli, A. ^{[1
]}

Ubaldi, F. M. ^{[1
]}

Capalbo, A. ^{[6
,7
]}

Rienzi, L. ^{[1
,8
]}

机构：

[1] GENERA Clin Valle Giulia, IVIRMA Global Res Alliance, Rome, Italy

[2] DLL Financial Solut Partner, Eindhoven, Netherlands

[3] IVIRMA Global Res Alliance, Baby 9, Bologna, Italy

[4] IVIRMA Global Res Alliance, Livio, Gothenburg, Sweden

[5] IVIRMA Global Res Alliance, Livet, Turin, Italy

[6] Juno Genet, Rome, Italy

[7] Univ G dAnnunzio, Ctr Adv Studies & Technol CAST, Unit Mol Genet, Chieti, Italy

[8] Univ Urbino Carlo Bo, Dept Biomol Sci, Urbino, Italy

来源：

关键词：

D O I：

暂无

中图分类号：

R71 [妇产科学];

学科分类号：

100211 ;

摘要：

P-189

引用

页数：2

共 2 条