Quality assurance (QA) for monitoring the performance of assisted reproductive technology (ART) staff using artificial intelligence (AI)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Genetics (clinical),Developmental Biology,Obstetrics and Gynecology,Genetics,Reproductive Medicine,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10815-022-02649-z.pdf
Reference39 articles.
1. Steptoe PC, Edwards RG. Birth after the reimplantation of a human embryo. Lancet. 1978;312:366.
2. Sunderam S, Kissin DM, Zhang Y, Jewett A, Boulet SL, Warner L, et al. Assisted reproductive technology surveillance - United States, 2018. MMWR Surveill Summ. 2022;71:1–19.
3. Chambers GM, Dyer S, Zegers-Hochschild F, de Mouzon J, Ishihara O, Banker M, et al. International Committee for Monitoring Assisted Reproductive Technologies world report: assisted reproductive technology, 2014†. Hum Reprod. 2021;36:2921–34.
4. Go KJ. “By the work, one knows the workman”: the practice and profession of the embryologist and its translation to quality in the embryology laboratory. Reprod Biomed Online. 2015;31:449–58.
5. Cirillo F, Patrizio P, Baccini M, Morenghi E, Ronchetti C, Cafaro L, et al. The human factor: does the operator performing the embryo transfer significantly impact the cycle outcome? Hum Reprod. 2020;35:275–82.
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1. The Role of Artificial Intelligence and Machine Learning in Assisted Reproductive Technologies;Obstetrics and Gynecology Clinics of North America;2023-12
2. Artificial intelligence in the in vitro fertilization laboratory: a review of advancements over the last decade;Fertility and Sterility;2023-07
3. Proceedings of the first world conference on AI in fertility;Journal of Assisted Reproduction and Genetics;2023-01-04
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