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AI - Embryo selection through artificial intelligence. Sorted by
Key Points see Q&A
202 Manual grading, the gold standard of embryo assessments, likely improves a patient’s prognosis when ranking embryos, although direct evidence of this improvement is lacking, and the technique carries considerable subjectivity and inherent variability.  
203 New technologies like time-lapse and AI embryo selection have not demonstrated improved prognostic value compared with manual embryo grading. Although PGT-A is a robust test for diagnosing aneuploidy, available evidence suggests its value for the prognosis of LB is limited because embryo quality and developmental competence vary and thus influence the prognosis  
  TextBook      
Development and validation of deep learning based embryo selection across multiple days of transfer    
DOI:10.1038/s41598-023-31136-3 by Scientific Reports in 2024     [1241]
Time-Lapse Imaging and Artificial Intelligence: It is Just the End of the Beginning!    
DOI:10.1016/j.jogc.2024.102609 by Journal of Obstetrics and Gynaecology Canada (JOGC) in 2024     [1238]
A brief history of artificial intelligence embryo selection: from black-box to glass-box    
DOI:10.1093/humrep/dead254 by Human Reproduction in 2024     [948]
An artificial intelligence tool predicts blastocyst development from static images of fresh mature oocytes.    
DOI:10.1016/j.rbmo.2024.103842 by Reproductive BioMedicine Online in 2024     [773]
Embryo selection through artificial intelligence versus embryologists: a systematic review    
DOI:10.1093/hropen/hoad031 by Human Reproduction Open in 2023     [172]
  Recent Publications      
Diagnostic or prognostic? Decoding the role of embryo selection on in vitro fertilization treatment outcomes      
DOI:10.1016/j.fertnstert.2024.01.005 by Fertility and Sterility in 2025     [2737]
Why the hypothesis of embryo selection in IVF/ICSI must finally be reconsidered      
DOI:10.1093/hropen/hoaf011 by Human Reproduction Open in 2025     [2629]
A deep learning model for predicting blastocyst formation from cleavage-stage human embryos using time-lapse images      
DOI:10.1038/s41598-024-79175-8 by Scientific Reports in 2024     [2308]
Development and validation of deep learning based embryo selection across multiple days of transfer      
DOI:10.1038/s41598-023-31136-3 by Scientific Reports in 2024     [1966]
Time-Lapse Imaging and Artificial Intelligence: It is Just the End of the Beginning!      
DOI:10.1016/j.jogc.2024.102609 by Journal of Obstetrics and Gynaecology Canada (JOGC) in 2024     [1954]
Making and Selecting the Best Embryo in In vitro Fertilization      
DOI:10.1016/j.arcmed.2024.103068 by Archives of Medical Research in 2024     [1801]
Advanced strategies for single embryo selection in assisted human reproduction: A review of clinical practice and research methods      
DOI:10.5653/cerm.2023.06478 by Clinical and Experimental Reproductive Medicine in 2024     [1138]
  Webinars      
AI Technology to Improve Embryo Selection using Still Images      
The International IVF Initiative - i3      
AI in PGT-A Decision-Making      
The International IVF Initiative - i3      
AI and Embryo Selection      
The International IVF Initiative - i3      
IVF Alerts
A versatile AI system for analyzing series of medical images Added [ days ago]
  Published in: 37 [ID: 15]

 
 
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