Machine Learning and Pregnancy Success Prediction in Fertility Treatments

Launched by IRCCS SAN RAFFAELE · Mar 18, 2025

Keywords

ClinConnect Summary

This is a multicentric, observational, retrospective, non-profit study, coordinated by the IRCCS San Raffaele Hospital, aims to analyze anonymized data collected between 2019 and 2024 from approximately 5,000 couples undergoing Assisted Reproductive Technology (ART) procedures across three participating centers. The study will examine key variables, including age, medical history, treatment protocols, ART techniques (such as In Vitro Fertilization \[IVF\] and Intracytoplasmic Sperm Injection \[ICSI\]), embryo quality, and pregnancy outcomes, to develop a machine learning-based predictive mo...

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