More Successful IVF with Daniella Gilboa from AIVF

In this episode of Impact AI, we delve into the transformative impact of AI on in-vitro fertilization (IVF) with Daniella Gilboa, co-founder and CEO of AIVF, a startup that develops AI-powered IVF solutions to help increase the certainty of a successful journey to parenthood. Join me as Daniella shares her mission to democratize fertility care and offers insight into AIVF’s proprietary technology that delivers reliable, objective, and data-driven IVF outcomes for clinicians, embryologists, and patients. We explore the role and challenges of machine learning at AIVF, strategies for validating AI models in clinical practice, and the current demand for AI-powered IVF solutions. We also discuss the metrics used to measure the impact of AIVF's technology, Daniella’s advice for other AI-powered startup leaders, and her vision for the future. Tune in to gain valuable insights into the future of fertility care and find out how AI is making IVF more effective and accessible!

Key Points:

• How Daniella came to understand the epidemiology and data aspects of fertility.
• What AIVF does and why it’s so important for both patients and clinicians.
• The role of machine learning at AIVF and the challenges their models encounter. 
• AIVF’s strategy for validating their models and translating KPIs into clinical settings.
• The value of explainability to empower embryologists to use AI as a tool.
• Daniella’s definition of computational embryology, assisted by machine learning.
• Why now is the right time for AI-powered IVF solutions.
• Metrics that AIVF uses to measure the impact of their technology.
• Danielle’s advice for leaders of AI-powered startups and her vision for the future.

Quotes:

“We showed that if you use AI as a tool for the embryologist – [it] increased the success rates – The decision-making is faster, more accurate. You freeze less embryos because each embryo you freeze is accurate – It changes the way the lab works and it optimizes everything.” — Daniella Gilboa

“The way you interact with the patient and consult the journey ahead is changing. It’s more accurate. It allows you to make more informed decisions. This is the right way of doing medicine. It needs to be data-driven rather than subjective human analysis.” — Daniella Gilboa

“AIVF needs to become the standard of care.” — Daniella Gilboa

Links:

AIVF

Daniella Gilboa on LinkedIn

Daniella Gilboa on X

Resources for Computer Vision Teams:

LinkedIn – Connect with Heather.

Computer Vision Insights Newsletter – A biweekly newsletter to help bring the latest machine learning and computer vision research to applications in people and planetary health.

Computer Vision Strategy Session – Not sure how to advance your computer vision project? Get unstuck with a clear set of next steps. Schedule a 1 hour strategy session now to advance your project.