Fetal Weight, Ultrasound
Conditions
Keywords
Artificial Intelligence, Fetal weight estimation, novices
Brief summary
The SCAN-AID study is a prospective, randomized, controlled, and unblinded study that compares the performance of novices in ultrasound fetal weight estimation. The study evaluates the impact of two levels of AI support: a straightforward black box AI and a more detailed explainable AI.
Detailed description
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 novices? Participants will be tasked with conducting an ultrasound Estimated Fetal Weight (EFW) using either a simple black box AI or a detailed explainable AI feedback system. The AI systems will assist participants in determining if they have captured the appropriate image for EFW. The outcomes will then be compared to those of a control group. Ultrasound procedures will be performed on pregnant women with fetuses at a gestational age of 28-42 weeks, who have previously undergone an EFW by an expert sonographer or doctor at the clinic within 5 days days leading up to the examinationday. One participant of each randomization arm, will perfrom an EFW on the same pregnant woman.
Interventions
AI feedback in two levels, in aid of the participants, to obtain the right standardplane images used in fetal ultrasound EFW calculation.
Sponsors
Study design
Masking description
The ultrasound images will receive quality scoring from an experienced fetal medicin consultant. Theese are blinded for which intervention the participant received.
Intervention model description
The participants are allocated to one of three groups: control group, feedback group 1 with black box AI or feedback group 2 with explainable AI feedback.
Eligibility
Inclusion 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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Diagnostic accuracy | 15 minutes | The accuracy in each group was defined as the percentage difference between estimated fetal weight and the sonographer expert EFW |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Image Quality | 5 minutes pr. participant | Salomon criteria score is used to rate the image quality. Points are given depending on the number of landmarks present, quality of the image optimization and caliper.placements. Minimum: 1 Maximum: 18. A higher score indicates a better image quality. |
Other
| Measure | Time frame | Description |
|---|---|---|
| The AI system usability | 5 minutes | The participants will be asked to answer a questionnaire: System Usability Scale (SUS), which is used to evaluate the AI feedback system. Min 1 Maximum 100. A higher score indicating better system usability. |
| Measurement of the reaction time | 5 minutes | Measurements of the participants reaction time will a measurement for the cognitive load. The reaction time will be measured as a secondary task while the participants are performing the ultrasound scan. |
Countries
Denmark