Machine Learning by Ultrasonography for Genetic Risk Stratification of Thyroid Nodules

• Published in: JAMA otolaryngology-- head & neck surgery Vol. 146; no. 1; p. 36
• Main Authors: Daniels, Kelly, Gummadi, Sriharsha, Zhu, Ziyin, Wang, Shuo, Patel, Jena, Swendseid, Brian, Lyshchik, Andrej, Curry, Joseph, Cottrill, Elizabeth, Eisenbrey, John
• Format: Journal Article
• Language: English
• Published: United States 01.01.2020
• Subjects: Female; Humans; Machine Learning; Male; Middle Aged; Predictive Value of Tests; Risk Assessment; Sensitivity and Specificity; Thyroid Neoplasms - diagnostic imaging; Thyroid Neoplasms - genetics; Thyroid Nodule - diagnostic imaging; Thyroid Nodule - genetics; Ultrasonography - methods

Thyroid nodules are common incidental findings. Ultrasonography and molecular testing can be used to assess risk of malignant neoplasm. To examine whether a model developed through automated machine learning can stratify thyroid nodules as high or low genetic risk by ultrasonography imaging alone co...