Artificial Intelligence in in vitro Fertilization toward Precision, Efficiency, and Ethical Reflection.

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.