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Is AI only a buzzword or it shapes the new IVF treatment already?​ – CEO Piotr Wygocki in the EFS’ panel

Time of publication: 1 year ago

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Is AI only a buzzword or it shapes the new IVF treatment already?​ – CEO Piotr Wygocki in the EFS’ panel

Artificial Intelligence (AI) has become a buzzword in many industries, and healthcare is no exception. The potential of AI to revolutionize various aspects of healthcare, including diagnostics, treatment planning, and patient care, is widely recognized. But is AI merely a trendy term, or is it already shaping the future of In Vitro Fertilization (IVF) treatments?

Our Co-CEO, Piotr Wygocki, recently participated as a panelist in a webinar organized by the European Fertility Society, where he and other experts in the field explored this fascinating intersection of AI and IVF. The panel discussion covered a range of topics, including the robustness of AI solutions, their applications in IVF, and the challenges in integrating AI solutions from proof-of-concept to patients.

 

AI’s application in IVF is not just a concept of the future; it’s happening now. AI technologies are being used to improve the success rates of IVF treatments by assisting in critical areas such as embryo selection, genetic screening, and personalized treatment planning.

1. Embryo Selection:

The success of IVF largely depends on the selection of viable embryos. Traditionally, this process relies heavily on the embryologist’s expertise and can be somewhat subjective. AI can analyze thousands of data points in an embryo’s image, making the selection process more objective and accurate.

2. Genetic Screening:

AI can also play a crucial role in Preimplantation Genetic Screening (PGS), a procedure used to detect genetic defects in embryos. By integrating AI with genetic screening, we can identify genetic abnormalities with greater precision, thereby reducing the risk of unsuccessful implantation and genetic disorders.

3. Personalized Treatment Planning:

Every patient is unique, and so should their IVF treatment plan. AI can analyze a vast array of patient data, including medical history, genetic information, and lifestyle factors, to create a personalized treatment plan that maximizes the chances of a successful pregnancy.

 

Conclusion:

While AI has become a buzzword in many sectors, its application in IVF treatments is real and already showing promising results. By integrating AI into IVF, we can make the process more accurate, efficient, and personalized, thereby increasing the chances of success and bringing hope to countless couples worldwide.

 

Webinar Recap:

Piotr Wygocki, our Co-CEO, joined a panel of experts at a webinar hosted by the European Fertility Society on May 31st, 2023. The panel explored the role of AI in IVF, discussing its robustness, applications, and the challenges of integration. The insights shared during this session further underscore AI’s significant role in revolutionizing IVF treatments.

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