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Risk stratification of indeterminate thyroid nodules using ultrasound and machine learning algorithms.
Gild, Matti Lauren; Chan, Mico; Gajera, Jay; Lurie, Brett; Gandomkar, Ziba; Clifton-Bligh, Roderick J.
Affiliation
  • Gild ML; Northern Clinical School, Faculty of Health and Medicine, University of Sydney, Australia.
  • Chan M; Department of Endocrinology and Diabetes, Royal North Shore Hospital, Sydney, Australia.
  • Gajera J; Department of Radiology, Royal North Shore Hospital, Sydney, Australia.
  • Lurie B; Department of Radiology, Royal North Shore Hospital, Sydney, Australia.
  • Gandomkar Z; Department of Radiology, Royal North Shore Hospital, Sydney, Australia.
  • Clifton-Bligh RJ; Discipline of Clinical Imaging, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
Clin Endocrinol (Oxf) ; 96(4): 646-652, 2022 04.
Article in En | MEDLINE | ID: mdl-34642976
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Full text: 1 Database: MEDLINE Main subject: Thyroid Neoplasms / Thyroid Nodule Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Clin Endocrinol (Oxf) Year: 2022 Type: Article Affiliation country: Australia
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Database: MEDLINE Main subject: Thyroid Neoplasms / Thyroid Nodule Type of study: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Clin Endocrinol (Oxf) Year: 2022 Type: Article Affiliation country: Australia