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A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study |
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| Josue Barnes, Matthew Brendel, Vianne R Gao, Suraj Rajendran, Junbum Kim, Qianzi Li, Jonas E Malmsten, Jose T Sierra, Pantelis Zisimopoulos, Alexandros Sigaras, Pegah Khosravi, Marcos Meseguer, Qiansheng Zhan, Zev Rosenwaks, Olivier Elemento, Nikica Zaninovic, Iman Hajirasouliha |
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| The Lancet Digital Health. 2023; 5(1): e28 |
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Can the combination of time-lapse parameters and clinical features predict embryonic ploidy status or implantation? |
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| Yaoyu Zou, Yingxia Pan, Naidong Ge, Yan Xu, Ruihuan Gu, Zhichao Li, Jing Fu, Junhui Gao, Xiaoxi Sun, Yijuan Sun |
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| Reproductive BioMedicine Online. 2022; |
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The impact of fragile X premutation carrier status on embryo morphokinetic development |
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| Yael Shulman, Yael Kalma, Mira Malcov, Rotem Kopel, Yuval Fouks, Foad Azem, Benny Almog, Yoni Cohen |
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Morphological and morphokinetic associations with aneuploidy: a systematic review and meta-analysis |
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| Thomas Bamford, Amy Barrie, Sue Montgomery, Rima Dhillon-Smith, Alison Campbell, Christina Easter, Arri Coomarasamy |
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Marginal differences in preimplantation morphokinetics between conventional IVF and ICSI in patients with preimplantation genetic testing for aneuploidy (PGT-A): A sibling oocyte study |
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| Neelke De Munck, Asina Bayram, Ibrahim Elkhatib, Andrea Abdala, Ahmed El-Damen, Ana Arnanz, Laura Melado, Barbara Lawrenz, Human Mousavi Fatemi, Paola Vigaṇ |
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| PLOS ONE. 2022; 17(4): e0267241 |
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An artificial intelligence model (euploid prediction algorithm) can predict embryo ploidy status based on time-lapse data |
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| Bo Huang, Wei Tan, Zhou Li, Lei Jin |
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| Reproductive Biology and Endocrinology. 2021; 19(1) |
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Outcome of in vitro fertilization cycles with automatic time-lapse instrumentation combined with the early embryo viability assessment score |
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| Kana Kokunai, Yoshiki Yamashita, Taketo Inoue, Sayumi Taguchi, Yoshiko Tsujimoto, Kayoko Hirao, Syuji Yamamoto, Natsuho Nakamura, Yoshito Terai, Masahide Ohmichi |
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| Journal of Obstetrics and Gynaecology Research. 2021; 47(7): 2387 |
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Morphokinetic analysis of pronuclei using time-lapse cinematography in bovine zygotes |
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| Ryosuke Suzuki, Mai Okada, Hiroki Nagai, Junichi Kobayashi, Satoshi Sugimura |
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| Theriogenology. 2021; 166: 55 |
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Comparison of two culture media on morphokinetics and ploidy status of sibling embryos |
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| Michael Urich, Muhammet Rasit Ugur, Fang Li, F. Nicholas Shamma, Ahmad Hammoud, Hanh N. Cottrell, Sule Dogan |
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| Zygote. 2021; : 1 |
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Deep learning neural network analysis of human blastocyst expansion from time-lapse image files |
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| Thomas T.F. Huang, Thomas Kosasa, Brienne Walker, Christina Arnett, Christopher T.F. Huang, Chelsea Yin, Yousuf Harun, Hyeong J. Ahn, Aaron Ohta |
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| Reproductive BioMedicine Online. 2021; 42(6): 1075 |
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The clinical use of time-lapse in human-assisted reproduction |
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| Maria Giulia Minasi, Pierfrancesco Greco, Maria Teresa Varricchio, Paolo Barillari, Ermanno Greco |
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| Therapeutic Advances in Reproductive Health. 2020; 14: 2633494120 |
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From laparotomy to laparoscopy to in vitro fertilization |
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| Victor Gomel |
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| Fertility and Sterility. 2019; 112(2): 183 |
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Time of morulation and trophectoderm quality are predictors of a live birth after euploid blastocyst transfer: a multicenter study |
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| Laura Rienzi, Danilo Cimadomo, Arantxa Delgado, Maria Giulia Minasi, Gemma Fabozzi, Raquel del Gallego, Marta Stoppa, Jose Bellver, Adriano Giancani, Marga Esbert, Antonio Capalbo, Jose Remoh́, Ermanno Greco, Filippo Maria Ubaldi, Marcos Meseguer |
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| Fertility and Sterility. 2019; 112(6): 1080 |
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Time-lapse morphokinetic assessment has low to moderate ability to predict euploidy when patient– and ovarian stimulation–related factors are taken into account with the use of clustered data analysis |
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| Sezcan Mumusoglu, Irem Yarali, Gurkan Bozdag, Pinar Ozdemir, Mehtap Polat, Lale Karakoc Sokmensuer, Hakan Yarali |
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| Fertility and Sterility. 2017; 107(2): 413 |
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