Labial-gland artificial intelligence model screening for autoimmune thyroiditis among patients with connective tissue disease.

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Title: Labial-gland artificial intelligence model screening for autoimmune thyroiditis among patients with connective tissue disease.
Authors: Wu JY; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Kang Y; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Li XM; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Xia WQ; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Liao RY; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., He ZY; Smart Healthcare Research Institute, Xunfei Healthcare Technology Co. Ltd, Hefei, China., Chen YL; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Wen Y; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Meng FX; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Zhang JY; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China., Yang Z; Department of Pathology, The Seventh Affiliated Hospital of Sun Yat-Sen, University, Shenzhen, China., Ren Y; Smart Healthcare Research Institute, Xunfei Healthcare Technology Co. Ltd, Hefei, China.; Pazhou Lab, Guangzhou, China.; University of Electronic Science and Technology of China, Chengdu, China., Lv Q; Department of Rheumatology, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, China.
Source: Frontiers in immunology [Front Immunol] 2026 Jun 23; Vol. 17, pp. 1861419. Date of Electronic Publication: 2026 Jun 23 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101560960 Publication Model: eCollection Cited Medium: Internet ISSN: 1664-3224 (Electronic) Linking ISSN: 16643224 NLM ISO Abbreviation: Front Immunol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1664-3224
DOI:10.3389/fimmu.2026.1861419