Assessment of the Diagnostic Performance of a Commercially Available Artificial Intelligence Algorithm for Risk Stratification of Thyroid Nodules on Ultrasound
危险分层
甲状腺结节
超声波
人工智能
甲状腺
医学
计算机科学
算法
放射科
内科学
作者
Jeffrey R. Ashton,Samantha Morrison,Alaattin Erkanli,Benjamin Wildman‐Tobriner
出处
期刊:Thyroid [Mary Ann Liebert] 日期:2024-10-15卷期号:34 (11): 1379-1388被引量:1
Background: Thyroid nodules are challenging to accurately characterize on ultrasound (US), though the emergence of risk stratification systems and more recently artificial intelligence (AI) algorithms has improved nodule classification. The purpose of this study was to evaluate the performance of a recent Food and Drug Administration (FDA)-cleared AI tool for detection of malignancy in thyroid nodules on US.