IVF has a million-dollar question: which embryo becomes a healthy baby. Yet most clinics still rely on subjective grading, invasive biopsies, and a process that can feel like a black box for patients. Daniella Gilboa spent 15 years inside IVF labs as a clinical biologist and embryologist, watching people navigate one of the most emotional journeys of their lives with too little clarity and too much uncertainty. So she built AIVF, a software platform that uses AI to analyze embryo development from embryo videos and lab data, then generates real probability scores to support embryo selection decisions.

In this episode of Lead with AI, Dr. Tamara Nall speaks with Daniella about how AIVF learns from outcomes across massive embryo datasets, how decision support tools can empower both clinicians and patients without replacing them, and what radical transparency looks like when patients can literally log in and see their embryos growing. Daniella shares powerful patient stories, including a moment where AI helped identify the embryo to transfer after repeated failed cycles, plus a clear-eyed discussion on ethics, de-identified data, and why explainability matters in reproductive medicine.

If you’re navigating IVF, considering egg freezing, or curious what AI looks like when it delivers measurable impact in healthcare, this conversation will change how you think about fertility, data, and the future of IVF.

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Follow Dr. Tamara Nall:

LinkedIn: @TamaraNall | Website: TamaraNall.com | Email: Tamara@LeadwithAIPodcast.com

Follow Daniella Gilboa (Co-Founder & CEO, AIVF): LinkedIn: @Daniella-Gilboa | Twitter/X: @GilboaDaniella | Instagram: @Daniella_Gilboa | Facebook: Daniella.Gilboa.3 | Contact: info@AIVF.co