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Artificial intelligence and assisted reproductive technology: A comprehensive systematic review.

Yen-Chen Wu1, Emily Chia-Yu Su2, Jung-Hsiu Hou3

  • 1Division of Reproductive Medicine, Department of Obstetrics and Gynecology, Taipei Medical University Hospital, Taipei, Taiwan; Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei, Taiwan.

Taiwanese Journal of Obstetrics & Gynecology
|January 10, 2025
PubMed
Summary

Artificial Intelligence (AI) significantly enhances Assisted Reproductive Technologies (ART) by improving fertility treatment processes and outcomes. AI optimizes tasks like embryo analysis and personalizes treatment plans for better success rates.

Keywords:
Artificial intelligenceAssisted reproductive technologyEmbryo selectionMachine learningTreatment outcome prediction

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Area of Science:

  • Reproductive Medicine
  • Medical Artificial Intelligence

Background:

  • Assisted Reproductive Technologies (ART) involve complex procedures with varying success rates.
  • Optimizing fertility treatments requires precise analysis and personalized patient management.

Purpose of the Study:

  • To evaluate the impact of Artificial Intelligence (AI) on Assisted Reproductive Technologies (ART).
  • To assess AI's role in enhancing fertility treatment efficacy, process optimization, and outcome prediction.

Main Methods:

  • Systematic review of 48 relevant articles on AI in ART.
  • Analysis of supervised, unsupervised, and reinforcement learning paradigms in ART procedures.

Main Results:

  • AI significantly refines ART processes, including embryo and sperm analysis.
  • AI facilitates personalized treatment plans through predictive modeling, improving outcome accuracy.
  • AI models enhance the precision of timing for critical interventions like egg retrieval and embryo transfer.

Conclusions:

  • AI integration represents a transformative advancement in ART, boosting precision and efficiency.
  • AI is an indispensable tool in reproductive medicine, improving treatment effectiveness and clinical decision-making.
  • AI holds significant potential for innovative solutions and tailored approaches in fertility treatments.