Clinical Data Collection for Obstetric Ultrasound Algorithms
This study aims to collect ultrasound data from pregnant individuals to help develop artificial intelligence (AI) algorithms. These algorithms will be used to screen for various fetal health parameters, such as gestational age and fetal heart rate. You may be eligible if you are 18 years or older, pregnant, and scheduled for a standard obstetric ultrasound. The study will assess the quality of images from a research ultrasound scan and compare them with your medical chart history. This is an interventional study, and the current status is unclear. The goal is to enroll 700 participants.
- Study design
- This is an interventional study planning to enroll 700 participants. It involves two groups: pregnant individuals (Group 1) and non-pregnant individuals (Group 2).
- What's involved
- You would undergo a research ultrasound scan using an FDA-approved ultrasound device. Your patient chart history and ultrasound images would be collected.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoint, assessing ultrasound image quality and comparing with patient chart history, is measured at 9 months.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Clinical Data Collection for Obstetric Ultrasound Algorithms
At a glance
Conditions
Where it's being run
2 sites across 2 statesWho to contact
Opens a ready-to-send draft in your own email app — review before sending.
What this trial measures
- Research sweep Ultrasound Images (Vscan ) from the participants will be assessed for quality of images and comparing with patient chart history9 months
All the participant's research ultrasound image will be obtained. This image will be checked for image quality on various stages of pregnancy as well as for non pregnant subjects. These images will be used to develop algorithms for measuring gestational age, placenta location etc.