Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility

Background Risk stratification systems for thyroid nodules are often complicated and affected by low specificity. Continual improvement of these systems is necessary to reduce the number of unnecessary thyroid biopsies. Purpose To use artificial intelligence (AI) to optimize the American College of...

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Veröffentlicht in:	Radiology 2019-07, Vol.292 (1), p.112-119
Hauptverfasser:	Wildman-Tobriner, Benjamin, Buda, Mateusz, Hoang, Jenny K, Middleton, William D, Thayer, David, Short, Ryan G, Tessler, Franklin N, Mazurowski, Maciej A
Format:	Artikel
Sprache:	eng
Schlagworte:	Adolescent Adult Aged Aged, 80 and over Artificial Intelligence Diagnostic Imaging - methods Female Humans Image Interpretation, Computer-Assisted - methods Male Middle Aged Radiology Information Systems Reproducibility of Results Retrospective Studies Risk Assessment Sensitivity and Specificity Societies, Medical Thyroid Gland - diagnostic imaging Thyroid Nodule - diagnostic imaging United States Young Adult
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