AI Support in Novice's Decision-making for Ultrasound Fetal Weight Estimation
Launched by COPENHAGEN ACADEMY FOR MEDICAL EDUCATION AND SIMULATION · Jan 22, 2024
Trial Information
Current as of November 10, 2025
Enrolling by invitation
Keywords
ClinConnect Summary
The SCAN-AID study is testing whether artificial intelligence (AI) help can improve how accurately people estimate fetal weight from an ultrasound when the user is new to doing ultrasound. Participants are randomly assigned to one of three groups: a control group that uses standard guidance (a poster) with no AI, a group that gets basic black-box AI feedback, and a group that gets more detailed explainable AI feedback. The main goal is to see which method best matches the expert’s estimate of fetal weight. Researchers will also look at how good the ultrasound images are, how much mental effort the task takes, and how usable the AI system feels. The ultrasound images are reviewed by an experienced fetal medicine doctor who doesn’t know which AI group the participant was in.
Who can join? The study includes two types of participants: medical students with no prior fetal ultrasound experience, and pregnant women who are 28 to 42 weeks pregnant. Pregnant participants should have a body mass index under 30 and no major pregnancy problems (like certain fetal issues or diabetes). All participants must be able to understand Danish or English. If you take part, you’ll have one ultrasound session to estimate fetal weight using the assigned AI help or standard guidance, followed by quick surveys and simple tasks to measure usability and reaction time. The trial is happening in Copenhagen, Denmark, at Rigshospitalet, and aims to enroll about 75 people.
Gender
ALL
Eligibility criteria
- Ultrasound novice participants:
- Inclusion Criteria:
- • Medical students with no former fetal or abdominal ultrasound training.
- • The participants will have to understand spoken and written Danish or English.
- Exclusion Criteria:
- • • Medical students who received formal fetal or abdominal training prior to the inclusion in this study.
- • Pregnant women;
- Inclusion Criteria:
- • The participants will have to understand spoken and written Danish or English.
- • BMI \< 30
- • Gestational age: 28-42
- Exclusion Criteria:
- • Age \> 40 years
- • Fefal anomaly
- • Oligohydramnion
- • Gestational Diabetes, Diabetes type 1 or 2.
About Copenhagen Academy For Medical Education And Simulation
The Copenhagen Academy for Medical Education and Simulation (CAMES) is a leading institution dedicated to advancing medical education and training through innovative simulation methodologies. With a focus on enhancing clinical competencies and patient safety, CAMES conducts rigorous clinical trials aimed at evaluating the effectiveness of simulation-based learning in various healthcare settings. By fostering collaboration among educators, researchers, and healthcare professionals, CAMES strives to improve educational outcomes and contribute to the development of best practices in medical training. Through its commitment to excellence and research, CAMES plays a pivotal role in shaping the future of medical education in Denmark and beyond.
Contacts
Jennifer Cobb
Immunology at National Institute of Allergy and Infectious Diseases (NIAID)
Locations
Copenhagen, Denmark
Patients applied
Timeline
First submit
Trial launched
Trial updated
Estimated completion
Not reported