Automated AI for real-time sperm selection in ICSI: reducing variability and studying the role of sperm in embryo development.

ABSTRACT:

Background

The application of Artificial Intelligence (AI) to sperm selection during Intracytoplasmic Sperm Injection (ICSI) procedures represents one of the most innovative advances in assisted reproductive technology (ART). Traditional sperm selection relies heavily on the subjective assessment of embryologists, which can lead to variability in outcomes. This study aimed to evaluate the performance of an AI-based software, Sperm ID (SiD™) v.1.0, for sperm selection during ICSI and to compare its outcomes with those obtained by experienced embryologists. Additionally, the study assessed the potential impact of sperm and oocyte quality, particularly in autologous versus donor oocyte cycles.

Methods

A single-center, blind, observational study was conducted involving 102 infer

SUBMITTER: Carrion-Sisternas L 

PROVIDER: S-EPMC12659390 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature