Can artificial intelligence guided feedback improve embryologists' selection of euploid embryos based on morphology alone?
The study highlights that AI tools like ERICA can enhance the reliability of embryo selection by reducing subjectivity and bias; however, the combination of human and AI judgment does not always provide a clear advantage over using either method independently. These findings emphasize the need to better understand the influence of AI on human decision-making and the trust placed in automated processes in IVF settings.
Authors
- Gerardo Mendizabal‐Ruiz (ORCID: https://orcid.org/0000-0002-3757-4409)
- Darren Karl Griffin (ORCID: https://orcid.org/0000-0001-7595-3226)
- Roberto Valencia-Murillo
- Giles Palmer (ORCID: https://orcid.org/0000-0002-6125-5360)
- Omar Paredes (ORCID: https://orcid.org/0000-0002-5382-6127)
- Adolfo Flores-Saiffe Farías (ORCID: https://orcid.org/0000-0003-4504-7251)
- Simon C. Harvey (ORCID: https://orcid.org/0000-0002-7504-2227)
- Alejandro Chávez-Badiola (ORCID: https://orcid.org/0000-0002-7977-3174)
Institutions
- Universidad de Guadalajara (MX)
- University of Kent (GB)
- New Hope Fertility Center (US)
- Enzo Life Sciences (United States) (US)
- IASO General Hospital (GR)
- University College London (GB)
- University of Greenwich (GB)
Publication Details
- Journal
- Reproductive BioMedicine Online
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1016/j.rbmo.2025.104990
- Citations
- 1
- Primary Topic
- Evolutionary Algorithms and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.48