Single-Sperm Motility Analysis During ICSI Using AI

Conference Papers
Written By C22 Admin

Farias et al., 2022

This study examined how an AI system called SiD analyzes individual sperm movement during ICSI procedures. Researchers recorded 2,154 sperm selections and compared the swimming patterns with sperm shape assessments. The AI measured eight different movement characteristics that human eyes cannot accurately track, including velocity, path linearity, and head oscillation. The study found significant differences in movement patterns between normal and abnormal sperm. This technology provides embryologists with objective data about sperm quality in real-time, potentially improving their selection decisions and IVF outcomes.

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Use of an Artificial Intelligence Tool to Assess Single-Sperm Motility Variables
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