Research Ultrasound scan: Both the study groups will be asked to undergo a research scan performed by an FDA approved ultrasound device
Study summary
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
Eligibility
Sex
FEMALE
Min age
18 Years
Max age
—
Healthy volunteers
Accepted
Inclusion Criteria:
Pregnant group (Group 1)
1. Participants aged 18 years or older at time of consent.
2. Participants with confirmed pregnancy (positive HCG urine test strip and/or a documented obstetric ultrasound scan.
3. Participants who are scheduled for or referred for a standard-of-care clinical obstetric ultrasound examination.
4. Participants who provide written consent.
Non-pregnant group (Group 2)
1. Participants aged 18 years or older at time of consent.
2. Participants who are not actively pregnant (confirmed using an HCG urine test strip).
3. Participants who provide written informed consent.
Exclusion Criteria:
\- 1. Participants for whom participating in this study would delay or compromise care in any way.
2\. Participants who are not able to understand or provide written consent.
Primary outcome measure(s)
Research sweep Ultrasound Images (Vscan ) from the participants will be assessed for quality of images and comparing with patient chart history — 9 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.
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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