Artificial intelligence-assisted risk stratification of thyroid nodules with atypia of undetermined significance.

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Bibliographic Details
Title: Artificial intelligence-assisted risk stratification of thyroid nodules with atypia of undetermined significance.
Authors: Kim J; Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea., Lee J; Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea., Ha J; Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea., Kwon O; Department of Surgery, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea., Baek KH; Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea., Song CM; Department of Otolaryngology-Head and Neck Surgery, College of Medicine, Hanyang University, Seoul, Republic of Korea., Lee HA; Department of Otolaryngology-Head and Neck Surgery, College of Medicine, Hanyang University, Seoul, Republic of Korea., Kwon H; Division of Endocrinology and Metabolism, Department of Internal Medicine, School of Medicine, Sungkyunkwan University, Seoul, Republic of Korea., Youn I; Department of Radiology, School of Medicine, Sungkyunkwan University, Seoul, Republic of Korea., Kwon MR; Department of Radiology, School of Medicine, Sungkyunkwan University, Seoul, Republic of Korea., Lim DJ; Division of Endocrinology and Metabolism, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Source: European thyroid journal [Eur Thyroid J] 2026 Feb 03; Vol. 15 (1). Date of Electronic Publication: 2026 Feb 03 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Bioscientifica Ltd Country of Publication: England NLM ID: 101604579 Publication Model: Electronic-Print Cited Medium: Internet ISSN: 2235-0802 (Electronic) Linking ISSN: 22350640 NLM ISO Abbreviation: Eur Thyroid J Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2235-0802
DOI:10.1530/ETJ-25-0268