[Application of Artificial Intelligence in Sperm Quality Analysis and Sperm Screening]

Area of Science:

• Reproductive Medicine
• Biotechnology
• Artificial Intelligence

Background:

• Infertility affects global populations, increasing reliance on assisted reproductive technology (ART).
• Challenges persist in ART, particularly concerning fertilization and pregnancy outcomes.
• Sperm quality is a critical determinant of ART success rates.

Purpose of the Study:

• To review the application of artificial intelligence (AI) in sperm quality analysis and selection.
• To explore how AI can address challenges in sperm screening for ART.
• To provide support for advancing AI in reproductive technology.

Main Methods:

• Review of existing literature on AI applications in sperm analysis.
• Analysis of AI models for evaluating sperm morphology, DNA quality, and motility.
• Examination of AI's role in sperm selection for ART.

Main Results:

• AI demonstrates significant potential in recognizing and evaluating sperm characteristics.
• AI-based models have achieved promising results in assessing sperm indicators.
• AI facilitates new approaches to sperm screening and selection.

Conclusions:

• AI offers innovative solutions for sperm quality assessment in ART.
• AI development is crucial for improving fertilization rates and ART outcomes.
• AI-driven sperm analysis supports the advancement of reproductive medicine.