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PUBMED FOR HANDHELDS

Journal Abstract Search


325 related items for PubMed ID: 38600621

  • 1. Generative artificial intelligence to produce high-fidelity blastocyst-stage embryo images.
    Cao P, Derhaag J, Coonen E, Brunner H, Acharya G, Salumets A, Zamani Esteki M.
    Hum Reprod; 2024 Jun 03; 39(6):1197-1207. PubMed ID: 38600621
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  • 2. Development of an artificial intelligence model for predicting the likelihood of human embryo euploidy based on blastocyst images from multiple imaging systems during IVF.
    Diakiw SM, Hall JMM, VerMilyea MD, Amin J, Aizpurua J, Giardini L, Briones YG, Lim AYX, Dakka MA, Nguyen TV, Perugini D, Perugini M.
    Hum Reprod; 2022 Jul 30; 37(8):1746-1759. PubMed ID: 35674312
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  • 3. Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF.
    VerMilyea M, Hall JMM, Diakiw SM, Johnston A, Nguyen T, Perugini D, Miller A, Picou A, Murphy AP, Perugini M.
    Hum Reprod; 2020 Apr 28; 35(4):770-784. PubMed ID: 32240301
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  • 5. BlastAssist: a deep learning pipeline to measure interpretable features of human embryos.
    Yang HY, Leahy BD, Jang WD, Wei D, Kalma Y, Rahav R, Carmon A, Kopel R, Azem F, Venturas M, Kelleher CP, Cam L, Pfister H, Needleman DJ, Ben-Yosef D.
    Hum Reprod; 2024 Apr 03; 39(4):698-708. PubMed ID: 38396213
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  • 9. Human blastocyst spontaneous collapse is associated with worse morphological quality and higher degeneration and aneuploidy rates: a comprehensive analysis standardized through artificial intelligence.
    Cimadomo D, Marconetto A, Trio S, Chiappetta V, Innocenti F, Albricci L, Erlich I, Ben-Meir A, Har-Vardi I, Kantor B, Sakov A, Coticchio G, Borini A, Ubaldi FM, Rienzi L.
    Hum Reprod; 2022 Sep 30; 37(10):2291-2306. PubMed ID: 35939563
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  • 11. Discard or not discard, that is the question: an international survey across 117 embryologists on the clinical management of borderline quality blastocysts.
    Chiappetta V, Innocenti F, Coticchio G, Ahlström A, Albricci L, Badajoz V, Hebles M, Gallardo M, Benini F, Canosa S, Kumpošt J, Milton K, Montanino Oliva D, Maggiulli R, Rienzi L, Cimadomo D.
    Hum Reprod; 2023 Oct 03; 38(10):1901-1909. PubMed ID: 37649342
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  • 13. Timing of human preimplantation embryonic development is confounded by embryo origin.
    Kirkegaard K, Sundvall L, Erlandsen M, Hindkjær JJ, Knudsen UB, Ingerslev HJ.
    Hum Reprod; 2016 Feb 03; 31(2):324-31. PubMed ID: 26637491
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  • 14. Performance of a deep learning based neural network in the selection of human blastocysts for implantation.
    Bormann CL, Kanakasabapathy MK, Thirumalaraju P, Gupta R, Pooniwala R, Kandula H, Hariton E, Souter I, Dimitriadis I, Ramirez LB, Curchoe CL, Swain J, Boehnlein LM, Shafiee H.
    Elife; 2020 Sep 15; 9():. PubMed ID: 32930094
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  • 15. Development and evaluation of a live birth prediction model for evaluating human blastocysts from a retrospective study.
    Liu H, Zhang Z, Gu Y, Dai C, Shan G, Song H, Li D, Chen W, Lin G, Sun Y.
    Elife; 2023 Feb 22; 12():. PubMed ID: 36810139
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  • 16. Germline nuclear transfer in mice may rescue poor embryo development associated with advanced maternal age and early embryo arrest.
    Tang M, Popovic M, Stamatiadis P, Van der Jeught M, Van Coster R, Deforce D, De Sutter P, Coucke P, Menten B, Stoop D, Boel A, Heindryckx B.
    Hum Reprod; 2020 Jul 01; 35(7):1562-1577. PubMed ID: 32613230
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  • 17. Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer.
    Tran D, Cooke S, Illingworth PJ, Gardner DK.
    Hum Reprod; 2019 Jun 04; 34(6):1011-1018. PubMed ID: 31111884
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  • 18. Cytoplasmic strings in human blastocysts: hypotheses of their role and implications for embryo selection.
    Marconetto A, Innocenti F, Saturno G, Taggi M, Chiappetta V, Trio S, De Falco F, Albricci L, Coticchio G, Ahlström A, Fiorentino G, Maggiulli R, Vaiarelli A, Zuccotti M, Rienzi L, Cimadomo D.
    Hum Reprod; 2024 Nov 01; 39(11):2453-2465. PubMed ID: 39354750
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  • 19. Clinical validation of an automatic classification algorithm applied on cleavage stage embryos: analysis for blastulation, euploidy, implantation, and live-birth potential.
    Valera MA, Aparicio-Ruiz B, Pérez-Albalá S, Romany L, Remohí J, Meseguer M.
    Hum Reprod; 2023 Jun 01; 38(6):1060-1075. PubMed ID: 37018626
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  • 20. Prospective study of automated versus manual annotation of early time-lapse markers in the human preimplantation embryo.
    Kaser DJ, Farland LV, Missmer SA, Racowsky C.
    Hum Reprod; 2017 Aug 01; 32(8):1604-1611. PubMed ID: 28854587
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