Artificial intelligence in the diagnosis of thyroid diseases: applications and challenges.
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| Title: | Artificial intelligence in the diagnosis of thyroid diseases: applications and challenges. |
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| Authors: | Zhao H; Department of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China., Xue T; Department of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China., Zhang Y; Department of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China., Lu Y; Department of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China., Wang D; Department of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China., Yin P; Department of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China., Jiang L; Department of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China., Liu D; Department of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China., Wang Y; Department of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, China. |
| Source: | Frontiers in radiology [Front Radiol] 2026 Apr 01; Vol. 6, pp. 1740915. Date of Electronic Publication: 2026 Apr 01 (Print Publication: 2026). |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 9918367586306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-8740 (Electronic) Linking ISSN: 26738740 NLM ISO Abbreviation: Front Radiol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2673-8740 |
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| DOI: | 10.3389/fradi.2026.1740915 |
