Limitations of ploidy prediction by time-lapse morphokinetics and artificial-intelligence-based embryo selection algorithms: trisomies fly under the radar

2025/01/15 by Iulian C. Roman, Graham Coull, Graham D. Coull +8 · 1 voice · 1 citation
Medicine · #Prenatal Screening and Diagnostics #Reproductive Biology and Fertility #Sperm and Testicular Function

paper · pdf · doi:10.1016/j.rbmo.2025.104828

openalex publication_date 2025/01/15 · crossref created 2025/01/15 · crossref issued 2025/07/01 · crossref published 2025/07/01 · crossref published-print 2025/07/01 · crossref deposited 2025/07/04 · openalex created_date 2025/10/10 · crossref indexed 2026/03/12 · openalex updated_date 2026/06/21

Citations

• Increasing the probability of selecting chromosomally normal embryos by time-lapse morphokinetics analysis
• 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

Cited by

• Bridging the gap between embryo euploidy, pregnancy potential and morphology using artificial intelligence for ploidy estimation: a retrospective evaluation

Discussions

• This new study offers critical insights into the morphokinetic profiles of embryos with various chromosomal abnormalities, particularly how different types of aneuploidies impact embryo development. [bsky, 0 points, 0 comments]