AI Support in Novice's Decision-making for Ultrasound Fetal Weight Estimation

Launched by COPENHAGEN ACADEMY FOR MEDICAL EDUCATION AND SIMULATION · Jan 22, 2024

Keywords

ClinConnect Summary

The goal of this randomized controlled clinical trial is to learn which type of artificial intelligence (AI) effects the diagnostic accuracy of ultrasound estimation of fetal weight (EFW), when performed by novices, in this study represented by medical students.

The study's objectives are:

* Which type of artificial intelligence support system works for novices in improving the ultrasound fetal weight diagnostic accuracy?
* Does the artificial intelligence improve image quality, evaluate the cognitive load placed on participants when utilizing AI support, and is the AI system usable for n...

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.