ArticleNPJ digital medicine2025
Multimodal model for the diagnosis of biliary atresia based on sonographic images and clinical parameters.
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 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- PAM: a propagation-based model for segmenting any 3D objects across multi-modal medical images.NPJ digital medicine · 2025Article
- Editorial: Non-invasive imaging techniques in children: clinical applications and advances.Frontiers in pediatrics · 2025Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
It is still challenging to diagnose biliary atresia (BA) in current clinical practice. The study aimed to develop a multimodal model incorporated with uncertainty estimation by integrating sonographic images and clinical information to help diagnose BA. Multiple models were trained on 384 infants and validated externally on 156 infants. The model fused with sonographic images and clinical information yielded best performance, with an area under the curve (AUC) of 0.941 (95% CI: 0.891-0.972) on the external dataset. Moreover, the model based on sonographic video still yielded AUC of 0.930 (0.876-0.966). By excluding 39 cases with high uncertainty (>0.95), accuracy of the model improved from 84.6% to 91.5%. In addition, six radiologists with different experiences showed improved diagnostic performance (mean AUC increase: 0.066) when aided by the model. This fusion model incorporated with uncertainty estimation could potentially help radiologists identify BA more accurately and efficiently in real clinical practice.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.