Machine Learning Miscarriage Management Clinical Decision Support Tool Study (NCT06384144) | Clinical Trial Compass
UnknownNot Applicable
Machine Learning Miscarriage Management Clinical Decision Support Tool Study
United Kingdom1,000 participantsStarted 2023-01-01
Plain-language summary
Machine learning used to develop an algorithm to determine chance of success with expectant or medical management for an individual patient. Taking into account the following objective measures:
* Demographics: Maternal Age, Parity
* History: Previous CS, Previous SMM/MVA, Previous Myomectomy
* Gestation by LMP
* Presenting symptoms: Bleeding score, Pain score
* USS Measurements: CRL, GS, RPOC 3 dimensions, Vascularity
* Discrepancy between gestation by CRL and LMP
Audit to collate 1000 cases and identify features contributing to an algorithm that can predict outcome of miscarriage management for individualized case management.
Who can participate
Age range
16 Years – 55 Years
Sex
FEMALE
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Inclusion Criteria:
* Missed miscarriage and incomplete miscarriage less than 14weeks gestation
* Follow-up recorded at 2 weeks
Exclusion Criteria:
\- Final outcome data unavailable
Questions worth asking your doctor
Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.
1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?
Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.
Questions for the trial coordinator
The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.
1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?
A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
What they're measuring
1
Machine learning predictive model development for miscarriage management outcomes.