Evaluating AI in First Trimester Ultrasound Imaging

Prospective Multicenter Study to Evaluate the Performance of the Artificial Intelligence (AI)/ Machine Learning (ML) Technologies Utilized by the Origin Medical EXAM ASSISTANT

Observational Origin Medical Systems, Inc. · NCT06952439

This study is testing whether an AI tool can accurately interpret early pregnancy ultrasounds compared to expert doctors to see if it can help improve the quality of the images.

Quick facts

Study typeObservational
Enrollment500 (estimated)
Ages18 Years and up
SexFemale
SponsorOrigin Medical Systems, Inc. Industry-sponsored
Locations15 sites (Apple Valley, California and 14 other locations)
Trial IDNCT06952439 on ClinicalTrials.gov

What this trial studies

This multicenter observational study aims to assess the clinical performance of the Artificial Intelligence/Machine Learning technologies utilized by the Origin Medical EXAM ASSISTANT in interpreting first-trimester fetal ultrasound examinations. The study will collect a dataset of at least 289 ultrasound examinations from pregnant participants between 11 weeks 0 days and 13 weeks 6 days of gestation. The AI system's performance will be compared against evaluations made by an independent panel of maternal-fetal medicine physicians to validate its accuracy in detecting diagnostic views and verifying quality criteria.

Who should consider this trial

Good fit: Ideal candidates for this study are pregnant individuals aged 18 years or older, with a singleton pregnancy between 11 weeks 0 days and 13 weeks 6 days of gestation.

Not a fit: Patients with multiple pregnancies, fetal abnormalities, or those requiring follow-up exams for known issues may not benefit from this study.

Why it matters

Potential benefit: If successful, this study could enhance the accuracy and efficiency of ultrasound examinations in early pregnancy, leading to better prenatal care.

How similar studies have performed: Other studies have shown promise in utilizing AI/ML technologies for medical imaging, indicating potential success for this approach.

Eligibility criteria

Show full inclusion / exclusion criteria
Inclusion Criteria:

1. Maternal age ≥ 18 years
2. BMI \< 40 kg/m2
3. Live non-anomalous singleton pregnancies
4. Gestational age between 11 weeks + 0 days and 13 weeks + 6 days, as determined by:

   Last menstrual period (LMP) or, Ultrasound report if the the LMP date is uncertain Note: Gestational age determination follows standard American College of Obstetricians and Gynecologists (ACOG) guidelines.
5. Informed consent is obtained from the participant
6. Exams obtained as per the Image Acquisition Protocol

Exclusion Criteria:

1. Multiple Pregnancies
2. Cases with fetal demise or other fetal abnormalities observed/suspected after the ultrasound examination
3. Cases of planned diagnostic ultrasound follow-up exams within 2 weeks for known or suspected abnormality after the current ultrasound examination for the study

Where this trial is running

Apple Valley, California and 14 other locations

Study contacts

How to participate

  1. Review the eligibility criteria above with your treating physician.
  2. Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
  3. Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions To Validate the Clinical Performance of AI/ML Technologies in First-trimester Pregnant ParticipantsFirst Trimester PregnancyArtificial IntelligenceMachine LearningUltrasound Imaging
Last reviewed 2026-06-09 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.