Infertility is a global public health problem, which affects millions of people globally and has great social, psychological, and economic consequences, particularly for women. While the in vitro fertilization (IVF) has been a revolution in the face of fertility treatment and given hope of success to the infertility couple, it is a complicated and expensive process, with rather low rates of success. The success of IVF depends on a number of factors, including quality of eggs and sperm, age, lifestyle, and duration of infertility. Artificial intelligence (AI) has become a game-changer tool in IVF and has brought more precision, efficiency, and success to this treatment. Artificial intelligence (AI) improves precision, efficiency and success rates. This is achieved by enhancing embryo and sperm selection, offering time-lapse embryo monitoring and aiding personalized treatment protocols. Through automation and the reduction of human error, AI can assist in better decision-making, which can lead to improved outcomes for IVF. However, there are significant ethical, legal, and societal issues that surround the integration of AI in the IVF process; these include the need to protect the genetic information, the issue of fairness in embryo selection, and the possible consequences of AI-driven reproductive decisions on society. Despite these challenges, the potential of AI in promoting IVF treatments is great and can make the treatment more tailored and effective. However, it is important that the use of AI in health care is carefully regulated and the ethical implications of its use are considered, to balance innovation and responsibility and ensure patient safety and trust. As AI technology continues to evolve, its potential impact on reproductive medicine is immense, but it should be used with caution and care.
Dular et al. (2026) studied this question.