Simplifying risk stratification for thyroid nodules on ultrasound: validation and performance of an artificial intelligence thyroid imaging reporting and data system.

Abstract

Authors

• Benjamin Wildman-Tobriner
  From the Department of Radiology, Duke University Hospital, 2301 Erwin Rd, Durham, NC 27701 (B.W.T., M.B., J.K.H., R.G.S., M.A.M.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (W.D.M., D.T.); and Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (F.N.T.).
• Jichen Yang
• Brian C Allen
  Department of Radiology, Duke University Medical Center, USA.
• Lisa M Ho
  Department of Radiology, Duke University Medical Center, USA.
• Chad M Miller
  Department of Radiology, Duke University Medical Center, USA.
• Maciej A Mazurowski
  Department of Radiology, Duke University School of Medicine, 2424 Erwin Road, Suite 302, Durham, NC, 27705, USA.

Keywords

External Resources