Using AI to improve ultrasound interpretation in obstetrics
Human-AI Collaborative Intelligence for Improving Fetal Flow Management: A Randomized Trial
This study tests whether using AI can help doctors better understand ultrasound images of babies' blood flow to improve care for high-risk pregnancies.
Quick facts
| Phase | Not applicable |
|---|---|
| Study type | Interventional |
| Enrollment | 92 (estimated) |
| Sex | All |
| Sponsor | Rigshospitalet, Denmark Academic / other |
| Locations | 2 sites (Copenhagen, Capital Region of Denmark and 1 other locations) |
| Trial ID | NCT06371859 on ClinicalTrials.gov |
What this trial studies
This randomized controlled study evaluates the effectiveness of explainable AI (XAI) in enhancing clinicians' interpretation of Doppler ultrasound images, specifically focusing on the umbilical artery (UA) and middle cerebral artery (MCA). A total of 92 clinicians will be randomized into intervention and control groups, with the intervention group receiving XAI feedback aimed at improving accuracy in ultrasound interpretation and medical decision-making. The study seeks to develop an interpretable model for Doppler flows and assess the impact of XAI feedback on clinical accuracy and management of high-risk pregnancies.
Who should consider this trial
Good fit: Ideal candidates for this study are clinicians who perform ultrasound examinations at least once a week and have experience in ultrasound scanning.
Not a fit: Patients who do not have experience in ultrasound scanning will not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could significantly improve the accuracy of ultrasound interpretations, leading to better management of high-risk pregnancies.
How similar studies have performed: Other studies have shown promise in using AI for medical imaging, but the specific application of explainable AI in this context is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * The inclusion criterion is the use of ultrasound at least once per week Exclusion Criteria: * The exclusion criterion is the absence of experience in ultrasound scanning.
Where this trial is running
Copenhagen, Capital Region of Denmark and 1 other locations
- Rigshospitalet — Copenhagen, Capital Region of Denmark, Denmark (Recruiting)
- Slagelse Hospital — Slagelse, Region Sjælland, Denmark (Recruiting)
Study contacts
- Study coordinator: Zahra Bashir, MD
- Email: zahra.bashir@regionh.dk
- Phone: 71871407
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.