Machine Learning and Pregnancy Success Prediction in Fertility Treatments

Launched by IRCCS SAN RAFFAELE · Mar 18, 2025

Keywords

ClinConnect Summary

This clinical trial is studying how machine learning, a type of artificial intelligence, can help predict the chances of success for patients undergoing fertility treatments like in vitro fertilization (IVF). The goal is to analyze large amounts of data from previous IVF treatments to identify patterns that could lead to better pregnancy outcomes. By using this information, doctors may be able to personalize treatment plans for each patient, which could improve the chances of a successful pregnancy while also easing the emotional and financial stress often associated with fertility treatments.

To participate in this trial, women between the ages of 18 and 43 who have undergone assisted reproductive technology procedures, like IVF or ICSI, between 2019 and 2024 may be eligible. However, those with incomplete medical records or outside the specified age range will not be included. While the trial is not yet recruiting participants, it aims to gather valuable insights that could enhance future fertility treatments and support couples struggling with infertility.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Patients who underwent ART procedures, including IVF and ICSI, between 2019 and 2024.
• • Women aged between 18 and 43 years.
• Exclusion Criteria:
• • Patiens with incomplete or missing data records that do not provide sufficient information for analysis.
• • women outside the 18 to 43 age range