Machine Learning by Ultrasonography for Genetic Risk Stratification of Thyroid Nodules.

Journal: JAMA otolaryngology-- head & neck surgery

Published Date: Jan 1, 2020

IMPORTANCE: Thyroid nodules are common incidental findings. Ultrasonography and molecular testing can be used to assess risk of malignant neoplasm.

Kelly Daniels

Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania.
Sriharsha Gummadi

Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania.
Ziyin Zhu

Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Shuo Wang

College of Tea & Food Science, Anhui Agricultural University, Hefei, China.
Jena Patel

Department of Otolaryngology-Head and Neck Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania.
Brian Swendseid

Department of Otolaryngology-Head and Neck Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania.
Andrej Lyshchik

Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania.
Joseph Curry

Department of Otolaryngology-Head and Neck Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania.
Elizabeth Cottrill

Department of Otolaryngology-Head and Neck Surgery, Thomas Jefferson University, Philadelphia, Pennsylvania.
John Eisenbrey

Department of Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania.

Female Humans Machine Learning Male Middle Aged Predictive Value of Tests Risk Assessment Sensitivity and Specificity Thyroid Neoplasms Thyroid Nodule Ultrasonography

View on PubMed Access via DOI PubMed (31647509)