Deep learning classifies focus score and Sjögren’s disease from minor salivary gland biopsies and highlights a CD8+ acinar pattern
Highlights
– A deep‑learning model trained on digitised minor salivary gland H&E slides achieved strong external performance for focus score (AUROC 0.88) and Sjögren’s disease classification (AUROC 0.89).
– Model performance was particularly high in anti‑SSA (Ro) antibody–negative patients (AUROC 0.92), a clinically challenging subgroup.
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This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.