CClinicalTrials.gg
Not yet recruitingNCT06742229MOBUSUpdated Dec 19, 2024

Clinical Data Collection for Obstetric Ultrasound Algorithms

An interventional study of Research Ultrasound scan in Pregnancy, sponsored by Caption Health, Inc.. Not yet recruiting at 2 sites in United States. Open to female participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2024-12-19.

Sponsored by Caption Health, Inc. · Not applicable, Interventional, and Other

From the registry’s dates

  • Primary completion was expected by Sep 2025, 1 year ago, but the record still lists the study as not yet recruiting.
Phase
Not applicable
Study type
Interventional
Enrollment
700
Allocation
Non-randomized
Ages
18 Years and older
Sex
Female
01

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

Read the detailed description

In this study pregnant and no pregnant subjects will be recruited from Obstetrics and Gynecology clinics/hospitals or from Maternal and Fetal Medicine centers. The pregnant subjects will be in Group 1 and non pregnant subjects will be in Group 2. Pregnant subjects are only recruited if they are scheduled for an obstetric standard of care scan . Both the group will undergo research scan, which is a sweep protocol using handheld FDA approved ultrasound device like Vscan. Patient chart history (no PHI), standard of care scan ultrasound images (no PHI), and research scan ultrasound images (no PHI) would be obtained from Group 1 subjects. Patient history (no PHI), research ultrasound images (no PHI) would be obtained from Group 2 subjects The data collected from this study will be used by the sponsor to develop algorithms for screening various fetal health parameters such as gestational age, placenta location, fetal heart rate, number of fetuses, fetal positions etc

Th

02

Conditions studied

  • Pregnancy

Keywords

  • Obstetrics
  • Gynecology
  • Artificial Intelligence
  • Machine Learning
03

In context

Lead sponsor

Caption Health, Inc. is the lead sponsor of 4 studies on the registry; 2 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
Female
Accepts healthy volunteers
Yes

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

Exclusion Criteria:

    1. Participants for whom participating in this study would delay or compromise care in any way.
  1. Participants who are not able to understand or provide written consent.
05

Study design

Phase
Not applicable
Primary purpose
Other
Allocation
Non-randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
700 participants (estimated)

Study arms

  • Other
    Group 1: Pregnant Subjects

    This group is for pregnant subjects. They will have two ultrasound scans performed- One will be the standard of care ultrasound scan and the other will be research scan

    Device: Research Ultrasound scan

  • Other
    Group 2- Non pregnant Subjects

    This group is for non-pregnant subjects. They will have one ultrasound scan performed- it will be the research scan

    Device: Research Ultrasound scan

Interventions

  • DeviceResearch Ultrasound scan

    Both the study groups will be asked to undergo a research scan performed by an FDA approved ultrasound device

06

What researchers measure

Primary outcomes

  1. Research sweep Ultrasound Images (Vscan ) from the participants will be assessed for quality of images and comparing with patient chart history

    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.

    Time frame: 9 months

07

Study locations

2 sites
  • University of Minnesota
    Minneapolis, Minnesota 55455, United States
  • Baylor College of Medicine
    Houston, Texas 77030, United States
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Dec 19, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT06742229
Lead sponsor
Caption Health, Inc.
Responsible party
Sponsor
First posted
Dec 19, 2024
Start date
Dec 20, 2024 (estimated)
Primary completion
Sep 30, 2025 (estimated)
Completion
Dec 30, 2025 (estimated)
Last update
Dec 19, 2024

Study contacts

Reshma Rajan-Joy, PhD
Contact
reshma.rajan-joy@gehealthcare.com
445-221-3076
Yngvil Thomas
Contact
yngvil.thomas@gehealthcare.com
312-316-5632

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Dec 2024. You cannot join it, but the record below documents what was studied.

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