Use of an Artificial Intelligence Tool to Assess Single-Sperm Motility Variables
Chavez-Badiola et al., 2022
During ICSI, embryologists must quickly select a single sperm from hundreds available, typically based on a brief visual assessment. This study used AI to analyze which swimming characteristics embryologists unconsciously prefer when selecting sperm, and whether these preferences lead to better outcomes. The AI tracked variables like swimming speed, path straightness, and head movement patterns. Results showed that embryologists tend to select faster, straighter-swimming sperm, and that certain movement patterns were associated with successful fertilization and embryo development. This tool helps understand and potentially improve the sperm selection process.