Automated AI for real-time sperm selection in ICSI: reducing variability and studying the role of sperm in embryo development
The study highlights the promising role of AI-based tools in standardizing and enhancing sperm selection during ICSI. While AI-driven sperm selection showed limited impact in donor cycles, it may offer a distinct advantage in cases involving compromised oocyte quality. Furthermore, AISS may improve laboratory efficiency and support junior embryologists by reducing selection time and increasing procedural consistency.
Authors
- Elizabeth Martín (ORCID: https://orcid.org/0000-0003-0252-8303)
- José Remohí
- Marcos Meseguer
- Tania Carrión
- Thamara Viloria (ORCID: https://orcid.org/0009-0007-1072-9523)
- Laura Carrión-Sisternas
Institutions
- Valencian Infertility Institute (ES)
- Boston IVF (US)
- Instituto de Investigación Sanitaria La Fe (ES)
Publication Details
- Journal
- Reproductive Biology and Endocrinology
- Published
- 2025-11-27
- DOI
- https://doi.org/10.1186/s12958-025-01479-9
- Primary Topic
- Reproductive Biology and Fertility
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- American Concrete Institute Foundation
- Centro para el Desarrollo Tecnológico Industrial