Evaluating an AI-Driven Model to Improve Patient Engagement and Outcomes in Medically Assisted Reproduction for Infertility

What this Trial Is About

Infertility is a significant medical condition affecting individuals and couples emotionally and physically, with in vitro fertilization IVF treatment requiring active patient involvement for success. This research aims to evaluate an artificial intelligence and machine learning AI-ML model called the Univfy PreIVF Report, designed to improve patient engagement and provide personalized predictions for IVF treatment outcomes. The study will prospectively assess how this AI-ML tool supports individualized patient needs in medically assisted reproduction. Participants are divided into two groups a retrospective cohort analyzed after their initial visits between December 2024 and June 2025, and a prospective cohort who will receive the AI-ML based Univfy PreIVF Report alongside medical explanation from their physician during their new patient visit. This report offers accurate personalized probabilities of achieving a live birth, aiming to enhance adherence to treatment protocols and support informed decisions. Participants will be followed for up to nine months after enrollment to measure conversion rates to medically assisted reproduction treatments, with additional evaluations at three and six months. The study will track adherence to treatment recommendations and the effectiveness of AI-based counseling in fostering engagement. Outcomes will be assessed through conversion rates and patient adherence, providing evidence for integrating AI-ML technologies in reproductive medicine.

AI-Driven Model Impact on Patient Engagement in Medically Assisted Reproduction