Session 178: The Sum of Its Parts
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Session 178: The Sum of Its Part: What Each Cycle Can Teach Us About the Next
Tuesday, November 3rd, 3pm EST, 8pm UK, 9pm CET
This webinar is kindly sponsored by Future Fertility
Moderators:
Dr. Dan Nayot & Jullin Fjeldstad
Presenters:
Dr. Alberto Vaiarelli: Changing the narrative for poor-prognosis patients in IVF: unlocking success through a multicycle approach
Marissa Riqueros Arévalo: From Prediction to Decision: AI-Based Oocyte Assessment in Egg Freezing Counselling
Paola Manzur Aldana: Beyond Morphology: Artificial Intelligence for Personalized Reproductive Prognosis
Q and A
Synopsis:
Time 100 mins.
This International IVF Initiative (I3) webinar explored how reproductive medicine is moving beyond traditional assessments of individual treatment cycles towards a more comprehensive, data-driven and personalised approach to fertility care. Bringing together clinical experience, emerging technologies and artificial intelligence, the session examined how information gathered throughout the reproductive journey could improve patient counselling, clinical decision-making and future treatment strategies.
Dr. Alberto Vaiarelli challenged conventional approaches to managing poor-prognosis patients in IVF, highlighting the importance of considering cumulative outcomes rather than judging success or failure on the basis of a single treatment cycle. His presentation explored how a multicycle strategy could help clinicians establish more realistic expectations, optimise treatment planning and provide patients with a clearer understanding of their reproductive potential. The discussion also addressed the clinical, emotional and financial implications of repeated treatment attempts.
Marissa Riqueros Arévalo examined the evolving role of artificial intelligence in oocyte assessment and elective egg freezing. Her presentation focused on how AI-based technologies could provide additional information about oocyte quality and developmental potential, moving beyond conventional morphological evaluation. Particular emphasis was placed on translating predictive information into practical clinical decisions, improving fertility preservation counselling and helping patients better understand their individual prospects for future reproductive success.
Paola Manzur Aldana explored how artificial intelligence could contribute to more personalised reproductive prognoses by integrating information beyond traditional embryo morphology. Her presentation considered the potential for AI-driven models to combine laboratory observations, patient characteristics and treatment outcomes to generate more meaningful predictions. The discussion highlighted the transition from generalised population-based estimates towards individualised assessments that could support embryo selection, treatment planning and patient counselling.
Moderated by Dr. Dan Nayot and Jullin Fjeldstad, the webinar brought together three complementary perspectives on the future of personalised reproductive medicine. A central theme was the importance of recognising that every treatment cycle generates valuable information, regardless of its immediate outcome.
The session reinforced the concept that successful fertility care should not be viewed simply as a series of isolated treatment attempts but as a continuous process of learning, reassessment and refinement. By combining cumulative clinical experience with increasingly sophisticated predictive technologies, IVF could move towards more informed decisions, realistic expectations and ultimately improved patient care.
