Artificial Intelligence in Reproductive Medicine - An Ethical Perspective

Area of Science:

• Reproductive Medicine
• Medical Artificial Intelligence

Background:

• Artificial intelligence (AI) is increasingly integrated into medical fields, including reproductive medicine.
• AI offers potential benefits for improving sperm, oocyte, and embryo selection and enhancing in vitro fertilization (IVF) predictive models.

Purpose of the Study:

• To explore the application of AI in reproductive medicine.
• To identify the ethical and normative challenges associated with AI implementation in this field.

Main Methods:

• The study reviews current research and discusses the ethical implications of using AI in reproductive medicine.
• Analysis of potential benefits, risks, and challenges related to AI in fertility treatments.

Main Results:

• AI can improve predictive accuracy and optimize patient-provider time, potentially aiding those facing infertility.
• Significant ethical concerns exist, including lack of efficacy evidence, informed consent difficulties, risks to offspring, and data transparency issues.

Conclusions:

• While AI holds promise for reproductive medicine, its current experimental stage necessitates critical examination of data quality, transparency, and accountability.
• Addressing ethical dilemmas and potential societal impacts is crucial for responsible AI integration into clinical practice.