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Improving IVF Success Rates & Utilizing AI in Fertility Health Care

Opinion
Video

Expert, Sean Tipton, discusses the current in vitro fertilization landscape and AI's potential to enhance fertility outcomes, pending sufficient payer coverage to drive clinical adoption.

This is a video synopsis/summary of a Population Health Perspectives® involving Sean Tipton.In the video, Tipton discusses exciting advances in precision reproductive medicine. He highlights growing interest in diagnosing and treating gametes (sperm and eggs) rather than embryos, which could identify and potentially fix problems before conception. Tipton also notes promise in applying artificial intelligence (AI) to embryology, specifically to improve embryo selection for transfer in in vitro fertilization (IVF). He explains that humans reproduce inefficiently, creating more embryos than used becausemany fail. Improved embryology techniques could enable fewer embryos to be made. Tipton cites diagnostic and gene editing work showing potential to eradicate diseases like sickle cell. However, he argues that for genomic precision medicine to truly advance, politicians must stop impeding reproductive medicine’s development through uneven regulation. Regarding AI, Tipton focuses on its ability to determine the best embryos to implant for healthy pregnancies. He also foresees techniques like genetic editing of sperm to prevent inheritable diseases playing a major future role. Althoughsuch applications likely will not immediately revolutionize reproduction, Tipton believes they could profoundly impact it within 15 years.

Video synopsis is AI generated and reviewed by Managed Healthcare Executive® editorial staff.

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