Clinicians' Trust in AI-Based Fetal Growth Estimates

NCT07401368 · Status: ENROLLING_BY_INVITATION · Phase: NA · Type: INTERVENTIONAL · Enrollment: 130

Last updated 2026-08-05

No results posted yet for this study

Summary

This study examines how clinicians trust and use artificial intelligence (AI) when estimating fetal weight during pregnancy.

Accurate assessment of fetal growth is important for identifying growth problems that may affect pregnancy management. New AI-based tools can estimate fetal weight from ultrasound images, but little is known about how clinicians trust these estimates or how uncertainty information influences their decisions.

In this study, clinicians will review anonymized ultrasound cases and compare fetal weight estimates generated by an AI model with traditional estimates. Some clinicians will also be shown information about the AI model's performance and uncertainty, while others will not.

Participants will be asked to choose which estimate they find most reliable, indicate their level of confidence, and decide whether they would recommend follow-up scans. The study aims to better understand how AI and uncertainty information affect clinical decision-making and trust among clinicians with different levels of experience.

Conditions

  • Fetal Growth
  • Obstetric Ultrasonography
  • Pregnancy
  • Clinical Decision-making

Interventions

OTHER

Intervention - AI Performance Information

Participants receive brief information about the AI model's overall performance before completing the questionnaire.

Sponsors & Collaborators

  • Slagelse Hospital

    collaborator OTHER
  • Copenhagen Academy for Medical Education and Simulation

    collaborator OTHER
  • Rigshospitalet, Denmark

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
SINGLE
Model
PARALLEL

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-04-27
Primary Completion
2027-12-01
Completion
2028-12-01

Countries

  • Denmark

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07401368 on ClinicalTrials.gov