Artificial Intelligence in Human Reproduction

Area of Science:

• Reproductive Medicine and Biotechnology
• Artificial Intelligence in Healthcare

Background:

• Human reproduction faces challenges including infertility, impacting individuals emotionally and financially.
• Artificial intelligence (AI) presents emerging opportunities to address these challenges in reproductive health.

Purpose of the Study:

• To provide a comprehensive overview of current and future AI applications in human reproduction.
• To explore the integration of AI across various reproductive medicine domains.
• To highlight the necessity of ethical frameworks for AI in reproductive technologies.

Main Methods:

• Literature review and synthesis of existing research on AI in reproductive medicine.
• Analysis of AI applications in fertility tracking, assisted reproductive technologies (ART), pregnancy management, and lab automation.

Main Results:

• AI demonstrates potential to enhance fertility tracking accuracy and optimize assisted reproductive technologies.
• Applications span from early fertility prediction to managing pregnancy complications and automating laboratory processes.
• Significant ethical and privacy concerns accompany the advancement of AI in this sensitive field.

Conclusions:

• AI holds transformative potential for improving outcomes and reducing burdens associated with infertility.
• Development of strong ethical guidelines and regulatory oversight is crucial for the responsible deployment of AI.
• Balancing innovation with ethical considerations is paramount for equitable access and patient well-being in AI-driven reproductive medicine.