Actively Recruiting
Human-AI Collaborative Intelligence for Improving Fetal Flow Management
Led by Rigshospitalet, Denmark · Updated on 2024-05-06
92
Participants Needed
2
Research Sites
83 weeks
Total Duration
On this page
Sponsors
R
Rigshospitalet, Denmark
Lead Sponsor
S
Slagelse Hospital
Collaborating Sponsor
AI-Summary
What this Trial Is About
This randomized controlled study evaluates the effectiveness of explainable AI (XAI) in improving clinicians' interpretation of Doppler ultrasound images (UA and MCA) in obstetrics. It involves 92 clinicians, randomized into intervention and control groups. The intervention group receives XAI feedback, aiming to enhance accuracy in ultrasound interpretation and medical decision-making. Objectives: 1. To develop an interpretable model for commonly used Doppler flows, specifically the Pulsatility Index (PI) of the umbilical artery (UA) and middle cerebral artery (MCA), with the aim to provide quality feedback on Doppler spectrum images and suggest potential gate placements. 2. To test the effects of providing Explainable AI (XAI)-feedback for clinicians compared with no feedback on their accuracy in ultrasound interpretation and management.
CONDITIONS
Official Title
Human-AI Collaborative Intelligence for Improving Fetal Flow Management
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Use ultrasound at least once per week
You will not qualify if you...
- No experience in ultrasound scanning
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 2 locations
1
Rigshospitalet
Copenhagen, Capital Region of Denmark, Denmark, 2100
Actively Recruiting
2
Slagelse Hospital
Slagelse, Region Sjælland, Denmark, 4200
Actively Recruiting
Research Team
Z
Zahra Bashir, MD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
DOUBLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
HEALTH_SERVICES_RESEARCH
Number of Arms
2
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