Improving IVF Success Rates & Utilizing AI in Fertility Health Care

EP: 1.Fostering Synergy in Fertility Care: Maximizing Payer-Provider Partnerships for Streamlined Patient Journeys

EP: 2.Holistic Fertility Management and Payer Collaboration

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EP: 3.Improving IVF Success Rates & Utilizing AI in Fertility Health Care

EP: 4.Increasing Employer Coverage and Maximizing Fertility Benefits

EP: 5.Closing Payer Gaps and Improving Fertility Care Access

EP: 6.Family-Building Costs, Barriers and Dropout Rates Associated With Fertility Care

EP: 7.Fertility Preservation: Egg Freezing Versus Embryo Freezing

EP: 8.Risks of Miscarriage and Multiple Births Associated With Fertility Care

EP: 9.Denial of Coverage in Fertility Care

EP: 10.Shaping Fertility Coverage: Access, Costs & Medical Needs

EP: 11.Closing Current Gaps within Fertility Benefits and Care

EP: 12.Enhancements and Innovations in Fertility Care

EP: 13.Reshaping Perspective on Fertility Care Coverage

EP: 14.Supporting Employee Wellbeing Through Fertility Benefits

EP: 15.Strategic Investment: Fertility Benefits and Positive Employee Outcomes

EP: 16.Mitigating Risks: How Fertility Benefits Safeguard Employee Health

EP: 17.Insights on Plan Enhancements & Fertility Care Innovations

EP: 18.Fertility benefit coverage: Barriers and opportunities

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.