An artificial intelligence algorithm for automated blastocyst morphometric parameters demonstrates a positive association with implantation potential.

Blastocyst selection is primarily based on morphological scoring systems and morphokinetic data. These methods involve subjective grading and time-consuming techniques. Artificial intelligence allows for objective and quick blastocyst selection.

Human blastocyst spontaneous collapse is associated with worse morphological quality and higher degeneration and aneuploidy rates: a comprehensive analysis standardized through artificial intelligence.

Study Question: What are the factors associated with human blastocyst spontaneous collapse and the consequences of this event?

Summary Answer: Approximately 50% of blastocysts collapsed, especially when non-viable, morphologically poor and/or aneuploid.

What Is Known Already: Time-lapse microscopy (TLM) is a powerful tool to observe preimplantation development dynamics. Lately, artificial intelligence (AI) has been harnessed to automate and standardize such observations.

How slow is too slow? A comprehensive portrait of Day 7 blastocysts and their clinical value standardized through artificial intelligence.

Study Question: What is the clinical value of Day 7 blastocysts?

Summary Answer: Ending embryo culture at 144 hours post-insemination (h.p.i.