aceGeneralisability of an adult-trained AI model to paediatric coeliac disease diagnosis: a multicentre external validation study
Background: Coeliac disease diagnosis on duodenal biopsies is limited by interobserver variability. We have previously demonstrated pathologist-level performance with our artificial intelligence (AI) model for the histopathological diagnosis of adult coeliac disease, but not in paediatric practice. As paediatric coeliac disease screening programmes expand internationally, accurate and scalable diagnostic tools are needed. We investigated whether an AI model trained exclusively on adult whole-slide images (WSIs)…
An AI model trained only on adult biopsy slides kept high accuracy on 708 children from two untrained-on centres, and could flag coeliac-negative biopsies within defined confidence thresholds.
Evidence
- Peer-reviewedeClinicalMedicine2026-10-12
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Truvace Impact Record TRV-2026-2186, v1: “Generalisability of an adult-trained AI model to paediatric coeliac disease diagnosis: a multicentre external validation study.” Truvace, 2026-10-22. /record/TRV-2026-2186 (accessed at citation time). sha256 c7e1a0dc9733bb17…
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