Actively Recruiting
Assessing the Impact of an Artificial Intelligence-Machine Learning Model on Patient Engagement in Medically Assisted Reproduction
Led by Instituto Valenciano de Infertilidade de Lisboa · Updated on 2026-02-23
774
Participants Needed
1
Research Sites
8 weeks
Total Duration
On this page
Sponsors
I
Instituto Valenciano de Infertilidade de Lisboa
Lead Sponsor
U
Univfy Inc.
Collaborating Sponsor
AI-Summary
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.
CONDITIONS
Brief Title
AI-Driven Model Impact on Patient Engagement in Medically Assisted Reproduction
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Infertile patients aged 18 to 45 years
- Patients willing to undergo medically assisted reproduction, including heterosexual couples, same-sex female couples, and single females undergoing artificial insemination, IVF/ICSI, or oocyte donation treatments
You will not qualify if you...
- Age over 45 years
- Patients not candidates for IVF/ICSI
- Patients who are menopausal or peri-menopausal
- Patients undergoing fertility preservation
- Same-sex couples undergoing reception of oocytes from partner
- Patients who decline counseling about their probability of having a live birth from IVF/ICSI treatment
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Your Study Journey
Duration - 2 to 4 weeks
Participants are screened for eligibility to participate in the trial.
1 visit (in-person)
Duration - At enrollment
Participants undergo a new patient visit with one of the doctors participating in the study. Those in the AI-based counselling group receive an AI-machine learning report with personalized probabilities of having a live birth rate along with a medical explanation.
1 baseline visit (in-person)
Duration - Up to 9 months after enrollment
Participants are observed for their medically assisted reproduction conversion rates over time.
Follow-up visits as per routine care
Trial Site Locations
Total: 1 location
1
IVI-RMA Lisboa
Lisbon, Portugal
Actively Recruiting
Research Team
A
Ana R Neves, MD, PhD
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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