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

Recruitingn/aAges 18 Years - 45 YearsAllInstituto Valenciano de Infertilidade de Lisboa
NCT07087171 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

Infertility is a globally significant medical condition, profoundly impacting individuals and couples both emotionally and physically. The multifaceted nature of in vitro fertilization (IVF) treatment demands active patient participation, with engagement playing a pivotal role in treatment success and satisfaction. However, suboptimal engagement can lead to challenges such as not initiating treatment, missed appointments, medication errors, dropping out and heightened stress levels, all of which may adversely affect clinical outcomes. Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized healthcare, offering innovative solutions for personalized patient care. In IVF, AI-ML models hold the potential to enhance patient engagement by delivering tailored communication, reminders, and educational support, but also improved prognostication by provid

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📋 Eligibility rules (as published)
Inclusion Criteria: * Infertile patients aged 18-45 years * Patients willing to undergo Medically Assisted Reproduction (heterosexual couples, same-sex female couples and single females undergoing artificial insemination, IVF/ICSI or oocyte donation treatments) Exclusion Criteria: * Age \>45 years * Patients who are not candidates for IVF/ICSI * Patients who are menopausal or peri-menopausal * Patients undergoing Fertility Preservation * Same-sex couples who will undergo reception of oocytes from partner. * Patients who decline to be counselled about their probability of having a live birth from IVF/ICSI treatment
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What it tests

  • Artificial intelligence-Machine learning report with accurate personalized probabilities of having a live birth rate
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Where

1 site
IVI-RMA Lisboa
Lisbon, Portugal
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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