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Clinician Agreement on the Classification of Thyroid Nodules Ultrasound Features: A Survey of 2 Endocrine Societies.

Nydia BurgosJing ZhaoJuan P BritoJenny K HoangFabián PitoiaSpyridoula MarakaM Regina CastroJi-Hyun LeeNaykky M Singh Ospina
Published in: The Journal of clinical endocrinology and metabolism (2022)
This study found high variation of judgments about ACR-TIRADS risk category and individual features, which poses a potential challenge for the widescale implementation of thyroid nodule risk stratification.
Keyphrases
  • machine learning
  • primary care
  • healthcare
  • magnetic resonance imaging
  • deep learning
  • quality improvement
  • human health
  • contrast enhanced ultrasound