Actively Recruiting
Does AI Make Clinicians More Appropriately Confident? A Randomized Study in Preterm Birth Prediction
Led by Rigshospitalet, Denmark · Updated on 2026-05-05
125
Participants Needed
7
Research Sites
16 weeks
Total Duration
On this page
Sponsors
R
Rigshospitalet, Denmark
Lead Sponsor
T
Technical University of Denmark
Collaborating Sponsor
AI-Summary
What this Trial Is About
The goal of this randomized questionnaire-based study is to evaluate how different presentations of artificial intelligence (AI) decision support influence clinical judgment among medical doctors working in obstetrics and gynecology when assessing the risk of spontaneous preterm birth using clinical case vignettes with cervical ultrasound images. The study specifically compares two AI presentation formats: a binary classification (preterm vs term birth) and an individualized risk estimate of preterm birth. The main questions it aims to answer are: * Which AI presentation format leads to better alignment between clinicians' confidence and decision accuracy (diagnostic calibration)? * Do different AI presentation formats lead to helpful or harmful changes in clinical decisions? Participants will complete an online questionnaire in which they review clinical cases, make diagnostic and management decisions, rate their diagnostic confidence before and after seeing the AI output, and report their trust in the AI.
CONDITIONS
Official Title
Does AI Make Clinicians More Appropriately Confident? A Randomized Study in Preterm Birth Prediction
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Medical doctors currently working in or training within the field of obstetrics and gynecology.
- Experience performing transvaginal cervical ultrasound examinations.
You will not qualify if you...
- No prior experience performing transvaginal cervical ultrasound examinations.
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 7 locations
1
Copenhagen University Hospital, Rigshospitalet
Copenhagen, Denmark, 2100
Not Yet Recruiting
2
Herlev Hospital
Herlev, Denmark, 2730
Actively Recruiting
3
Copenhagen University Hospital, North Zealand
Hillerød, Denmark, 3400
Actively Recruiting
4
Holbæk Hospital
Holbæk, Denmark, 4300
Not Yet Recruiting
5
Hvidovre Hospital
Hvidovre, Denmark, 2650
Not Yet Recruiting
6
Zealand University Hospital, Roskilde
Roskilde, Denmark, 4000
Actively Recruiting
7
Slagelse Hospital
Slagelse, Denmark, 4200
Not Yet Recruiting
Research Team
E
Emilie Pi F Sejer, MD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
SINGLE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
OTHER
Number of Arms
2
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