Clinical Data Collection for Obstetric Ultrasound Algorithms (NCT06742229)
Prospective Clinical Data Collection for Developing Machine Learning-assisted Obstetric Ultrasound (MOBUS) Screening Algorithms
🩺 Plain-English Summary (8th-Grade Level)
The goal of this clinical trial is to * Collect ultrasound data from pregnant and non-pregnant individuals presenting to multiple study sites. * Use the collected data and ultrasound images to train and validate Artificial intelligence algorithms developed by the Sponsor Consented participants will be asked to take part in a research ultrasound scan
Who can join: Review the eligibility criteria below.
Location: University of Minnesota — Minneapolis, Minnesota
Age range: 18 Years
🧪 Interventions in This Study
📋 "Do I Qualify?" — 1-Minute Self Screener
Instant ChecklistFull eligibility criteria are available on the official NIH protocol. View the criteria ↗
📍 All Participating Trial Locations (2 Sites)
- University of Minnesota — Minneapolis, Minnesota
- Baylor College of Medicine — Houston, Texas
📞 Contact the Study Coordinator
Phone: (445) 221-3076
Email: reshma.rajan-joy@gehealthcare.com
Coordinator details come directly from the registered NIH protocol. Confirm the study is still recruiting before traveling.
💰 Cost, Insurance & Patient Rights
- 100% Free Items: The investigational treatment and protocol-required procedures are supplied at zero cost by the sponsor.
- Routine Patient Care: Under federal law (ACA § 2709) and many state statutes, routine care costs are covered during participation.
- Voluntary Participation: You may withdraw at any time without affecting your standard medical care.
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💡 How to Participate
- Check the checklist above to see if you may qualify.
- Contact the study coordinator using the phone/email above.
- Ask about the visit schedule, what is covered at no cost, and any travel support.
- Confirm with your own doctor before making a decision.