Dynamic AI Ultrasound-Assisted Diagnosis System to Reduce Unnecessary Fine Needle Aspiration of Thyroid Nodules.

Journal: Journal of clinical ultrasound : JCU
Published Date: May 9, 2025

Abstract

OBJECTIVES: This study aims to compare the diagnostic efficiency of the American College of Radiology-Thyroid Imaging, Reporting, and Data System (ACR-TIRADS), fine-needle aspiration (FNA) cytopathology alone, and the dynamic artificial intelligence (AI) diagnostic system.

Authors

  • Fang Li
    Department of General Surgery, Chongqing General Hospital, Chongqing, China.
  • Shuang Tao
    Department of Breast Surgery, Wujin Hospital Affiliated With Jiangsu University, Wujin, China.
  • Ma Ji
    Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Long Liu
    Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Ziwei Qin
    Department of Ultrasound, Xuzhou Centeral Hospital of Bengbu Medical College, Xuzhou, China.
  • Xueting Yang
    Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Rong Wu
    Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Jia Zhan
    Department of Ultrasound, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

Keywords

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