Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2026-03-26 @ 3:15 PM
Ignite Modification Date:
2026-03-26 @ 3:15 PM
NCT ID:
NCT07402668
Brief Summary:
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.
Study:
NCT07402668
Study Brief:
Protocol Section:
NCT07402668