ArticleNPJ digital medicine2025
Intelligent quality control for first trimester ultrasound scans in Liaoning Province of China.
Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Artificial intelligence-assisted quality assessment of mid-trimester ultrasound examinations using large vision-language models.BMC pregnancy and childbirth · 2026Article
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Authors and funding
9 authors.
Funding
Abstract
The first-trimester (11 to 13 + 6 weeks) ultrasound examination offers an opportunity to detect fetal abnormalities and contributes to the first-trimester aneuploidy screening. The scan conducted according to standardized protocol can maximize its value. Here, we aim to develop the First Trimester Ultrasound Quality-control System (FUQS) for assessing the first-trimester ultrasound scans and further apply it for quality control practice in Liaoning Province, China. To develop and test FUQS, 41,968 images from 7251 pregnancies was collected. The system achieved high consistency with experts on view scoring (ICC 0.957, p < 0.001). In quality audit practice among the randomly selected 35 hospitals, the overall completion rate was 65.85% and the overall median score was 58.50. Tier 3 hospitals outperformed Tier 2 hospitals, while specialized hospitals outperformed general hospitals. Among the required standard views, the transventricular axial view showed best performance. In contrast, abdominal cord insertion view performed worst.
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