AI could boost IVF success by finding hidden patterns in patient data
NCT ID NCT06884930
First seen Nov 01, 2025 · Last updated May 15, 2026 · Updated 31 times
Summary
This study looks at data from 5,000 people who had IVF between 2019 and 2024. Researchers will use machine learning to find patterns that predict whether a pregnancy is likely to succeed. The goal is to help doctors personalize treatment—like choosing the best embryo or timing—to improve success rates and reduce costs and stress for patients.
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Locations
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IRCCS San Raffaele Hospital
Milan, Milano, 20132, Italy
Conditions
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