Health Technology/clinical-trials

Completed Clinical Validation Study: AI Algorithm for Sjögren's Syndrome Diagnosis via Salivary Gland Biopsy Analysis — Implications for Pathology Practice

247 Health News Editorial

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4 May 2026

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4 min read

·clinical-trials

A completed 1,000-patient validation study demonstrates promising results for an AI algorithm that calculates lymphocyte focus scores in salivary gland biopsies for Sjögren's syndrome diagnosis. This technology could standardise pathological interpretation and improve diagnostic accuracy for this challenging autoimmune condition.

Originally reported by ClinicalTrials.gov

References

  1. 1.Sun Yat-Sen Memorial Hospital. (2024). An Artificial Intelligence Algorithm for Lymphocyte Focus Score in Whole Slide Images of Minor Salivary Gland Biopsy Samples for Diagnosing Sjogren's Syndrome. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT06437652
  2. 2.Qin, B., Wang, J., Yang, Z., Yang, M., Ma, N., Huang, F., & Zhong, R. (2015). Epidemiology of primary Sjögren's syndrome: a systematic review and meta-analysis. Annals of the Rheumatic Diseases, 74(11), 1983-1989. https://doi.org/10.1136/annrheumdis-2014-205375
  3. 3.Daniels, T. E., Cox, D., Shiboski, C. H., Schiødt, M., Wu, A., Lanfranchi, H., ... & Greenspan, J. S. (2011). Associations between salivary gland histopathologic diagnoses and phenotypic features of Sjögren's syndrome among 1,726 registry participants. Arthritis & Rheumatism, 63(7), 2021-2030. https://doi.org/10.1002/art.30381
  4. 4.Shiboski, C. H., Shiboski, S. C., Seror, R., Criswell, L. A., Labetoulle, M., Lietman, T. M., ... & Vitali, C. (2017). 2016 American College of Rheumatology/European League Against Rheumatism classification criteria for primary Sjögren's syndrome. Arthritis & Rheumatology, 69(1), 35-45. https://doi.org/10.1002/art.39859
  5. 5.Kroese, F. G., Haacke, E. A., & Bombardieri, M. (2018). The role of salivary gland histopathology in primary Sjögren's syndrome: promises and pitfalls. Clinical Reviews in Allergy & Immunology, 54(3), 392-405. https://doi.org/10.1007/s12016-017-8649-5
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