• Proceedings of the Korean Society of Embryo Transfer Conference
• /
• 2006.10a
• /
• pp.97-97
• /
• 2006

• 대한생식의학회:학술대회논문집
• /
• 2006.11a
• /
• pp.119-119
• /
• 2006

• 대한생식의학회:학술대회논문집
• /
• 2002.05a
• /
• pp.66-67
• /
• 2002

• 대한생식의학회:학술대회논문집
• /
• 2003.12a
• /
• pp.126.1-126.1
• /
• 2003

• 대한생식의학회:학술대회논문집
• /
• 2004.06a
• /
• pp.77-78
• /
• 2004

• 대한생식의학회:학술대회논문집
• /
• 2006.06a
• /
• pp.160.2-160.2
• /
• 2006

• 대한생식의학회:학술대회논문집
• /
• 2006.06a
• /
• pp.26-31
• /
• 2006

• 대한생식의학회:학술대회논문집
• /
• 2003.12a
• /
• pp.82-83
• /
• 2003

• Clinical and Experimental Reproductive Medicine
• /
• v.51 no.1
• /
• pp.1-12
• /
• 2024

This review article discusses the integration of artificial intelligence (AI) in assisted reproductive technology and provides key concepts to consider when introducing AI systems into reproductive medicine practices. The article highlights the various applications of AI in reproductive medicine and discusses whether to use commercial or in-house AI systems. This review also provides criteria for implementing new AI systems in the laboratory and discusses the factors that should be considered when introducing AI in the laboratory, including the user interface, scalability, training, support, follow-up, cost, ethics, and data quality. The article emphasises the importance of ethical considerations, data quality, and continuous algorithm updates to ensure the accuracy and safety of AI systems.

• Clinical and Experimental Reproductive Medicine
• /
• v.49 no.2
• /
• pp.75-75
• /
• 2022