Avoidable biopsies? Validating artificial intelligence-based decision support software in indeterminate thyroid nodules.

Abstract

Authors

• Christopher J Carnabatu
  Division of Endocrine Surgery, UT Southwestern Medical Center, Dallas, TX. Electronic address: https://twitter.com/CarnabatuMD.
• David T Fetzer
  From the Department of Radiology (D.T.F.) and Department of Internal Medicine, Division of Digestive and Liver Diseases (A.M.), UT Southwestern Medical Center, 5323 Harry Hines Blvd, E6-230-BF, Dallas, TX 75390-9316; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, Mass (T.T.P.); Department of Radiology, University of Alabama at Birmingham, Birmingham, Ala (M.L.R.); Departments of Radiology and Biomedical Engineering, Laboratory of Biorheology and Medical Ultrasonics, University of Montréal Hospital Research Center, Montréal, Quebec, Canada (G.C.); Department of Medical Physics, University of Wisconsin, Madison, Wis (T.J.H.); Department of Radiology, University of Kansas Medical Center, Kansas City, Kan (A.C.); Department of Diagnostic and Interventional Radiology, University Hospital Homburg/Saar, Homburg, Germany (R.K.); and Department of Radiology, Centre Hospitalier de l'Université de Montréal (CHUM) and Université de Montréal, Montréal, Quebec, Canada (A.T.).
• Alexander Tessnow
  Division of Endocrinology and Metabolism, UT Southwestern Medical Center, Dallas, TX. Electronic address: https://twitter.com/AlexTessnow.
• Shelby Holt
  Division of Endocrine Surgery, UT Southwestern Medical Center, Dallas, TX.
• Vivek R Sant
  Division of Endocrine Surgery, UT Southwestern Medical Center, Dallas, TX 75390, USA.

Keywords

External Resources