Actively Recruiting
Machine Learning Miscarriage Management Clinical Decision Support Tool Study
Led by Imperial College London · Updated on 2024-04-25
1000
Participants Needed
1
Research Sites
178 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Machine Learning Miscarriage Management Clinical Decision Support Tool Study
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Missed miscarriage and incomplete miscarriage less than 14 weeks gestation
- Follow-up recorded at 2 weeks
You will not qualify if you...
- Final outcome data unavailable
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Imperial College Heatlhcare NHS Trust
London, United Kingdom, W12 0HS
Actively Recruiting
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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