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Artificial Intelligence in Human Reproduction.

Gerardo Mendizabal-Ruiz1, Omar Paredes2, Ángel Álvarez1

  • 1Conceivable Life Sciences, Department of Research and Development, Guadalajara, Jalisco, Mexico; Laboratorio de Percepción Computacional, Departamento de Bioingeniería Traslacional, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico.

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|November 30, 2024
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) offers promising advancements in human reproduction, potentially improving success rates for fertility treatments. However, careful consideration of ethical implications and robust regulations are essential for responsible AI implementation in reproductive medicine.

Keywords:
Artificial intelligenceAssisted reproduction technologiesHuman reproductionReproduction medicine

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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.