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In Vitro Fertilization01:24

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In vitro fertilization (IVF) is a form of assisted reproductive technology where an egg is fertilized with sperm in a controlled laboratory environment before transferring the resulting embryo into the uterus. This process is designed to help individuals and couples experiencing difficulties conceiving.
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Genome editing technologies allow scientists to modify an organism’s DNA via the addition, removal, or rearrangement of genetic material at specific genomic locations. These types of techniques could potentially be used to cure genetic disorders such as hemophilia and sickle cell anemia. One popular and widely used DNA-editing research tool that could lead to safe and effective cures for genetic disorders is the CRISPR-Cas9 system. CRISPR-Cas9 stands for Clustered Regularly Interspaced...
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Reproductive cloning is the process of producing a genetically identical copy—a clone—of an entire organism. While clones can be produced by splitting an early embryo—similar to what happens naturally with identical twins—cloning of adult animals is usually done by a process called somatic cell nuclear transfer (SCNT).
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Artificial Intelligence in in vitro Fertilization toward Precision, Efficiency, and Ethical Reflection.

Sunil Kumar Dular1, Lekha Bist2, Rajesh Kumar Sharma3

  • 1Department of Nursing, SGT University, Gurugram, Haryana, India.

Annals of African Medicine
|April 8, 2026
PubMed
Summary

Artificial intelligence (AI) enhances in vitro fertilization (IVF) success by improving embryo selection and personalizing treatments. Careful regulation is needed to address ethical concerns and ensure patient trust in AI-assisted reproductive medicine.

Keywords:
Artificial intelligenceIntelligence artificielleapprentissage automatiqueapprentissage profonddeep learningfécondation in vitroinfertilityinfertilitémachine learningmicroscopiemicroscopymédecine de précisionmédecine reproductivepatient safetyprecision medicinereproductive medicinesemenspermatozoaspermatozoïdesspermesécurité des patients

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Area of Science:

  • Reproductive Medicine
  • Biotechnology
  • Medical Artificial Intelligence

Background:

  • Infertility affects millions globally, posing significant social and psychological burdens.
  • In vitro fertilization (IVF) offers hope but is complex, expensive, and has limited success rates.
  • IVF success depends on factors like gamete quality, age, and infertility duration.

Purpose of the Study:

  • To explore the transformative role of artificial intelligence (AI) in improving IVF outcomes.
  • To highlight AI's potential in enhancing precision, efficiency, and success rates in fertility treatments.
  • To examine the ethical, legal, and societal implications of integrating AI into IVF.

Main Methods:

  • AI enhances embryo and sperm selection processes.
  • AI provides time-lapse embryo monitoring for better insights.
  • AI aids in developing personalized treatment protocols for individuals undergoing IVF.

Main Results:

  • AI integration leads to increased precision and efficiency in IVF procedures.
  • Automation and reduced human error through AI contribute to improved decision-making.
  • AI facilitates more tailored and effective IVF treatments, potentially increasing success rates.

Conclusions:

  • AI presents a significant opportunity to advance reproductive medicine and IVF.
  • Ethical considerations, data privacy, and fairness in embryo selection require careful management.
  • Responsible regulation and ethical oversight are crucial for patient safety and trust in AI-driven healthcare.