Artificial intelligence-based embryo ranking can match or improve traditional assessments but cannot predict an aneuploid chromosomal constitution.
- DOI
- 10.1016/j.fertnstert.2026.07.025
- Published
- 2026 Aug 3
- Container
- Fertility and sterility
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.fertnstert.2026.07.025,
title = {Artificial intelligence-based embryo ranking can match or improve traditional assessments but cannot predict an aneuploid chromosomal constitution.},
author = {Cimadomo D and Taggi M and Innocenti F and Cimadomo V and Coticchio G and De Falco F and Nastri G and Fiorentino G and Stati A and Morelli M and Guido M and Vaiarelli A and Berntsen J and Capalbo A and Ubaldi FM and Rienzi L},
year = {2026},
journal = {Fertility and sterility},
doi = {10.1016/j.fertnstert.2026.07.025},
url = {https://doi.org/10.1016/j.fertnstert.2026.07.025}
}RIS
TY - JOUR TI - Artificial intelligence-based embryo ranking can match or improve traditional assessments but cannot predict an aneuploid chromosomal constitution. AU - Cimadomo D AU - Taggi M AU - Innocenti F AU - Cimadomo V AU - Coticchio G AU - De Falco F AU - Nastri G AU - Fiorentino G AU - Stati A AU - Morelli M AU - Guido M AU - Vaiarelli A AU - Berntsen J AU - Capalbo A AU - Ubaldi FM AU - Rienzi L PY - 2026 JO - Fertility and sterility DO - 10.1016/j.fertnstert.2026.07.025 UR - https://doi.org/10.1016/j.fertnstert.2026.07.025 ER -
APA
D, C., M, T., F, I., V, C., G, C., F, D. F., G, N., G, F., A, S., M, M., M, G., A, V., J, B., A, C., FM, U., & L, R. (2026). Artificial intelligence-based embryo ranking can match or improve traditional assessments but cannot predict an aneuploid chromosomal constitution.. Fertility and sterility. https://doi.org/10.1016/j.fertnstert.2026.07.025
Source records
- pubmed · retrieved 2026-09-25T14:16:01.432Z