Assessing the Potential of a Deep Learning Tool to Improve Fracture Detection by Radiologists and Emergency Physicians on Extremity Radiographs.

Abstract

Authors

• Tianyuan Fu
  Department of Radiology, University Hospitals Cleveland, Cleveland, OH, USA.
• Vidya Viswanathan
  Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.
• Alexandre Attia
  Azmed, 10 Rue d'Uzès, 75002, Paris, France (A.A., E.Z.A., J.V.).
• Elie Zerbib-Attal
  Azmed, 10 Rue d'Uzès, 75002, Paris, France (A.A., E.Z.A., J.V.).
• Vijaya Kosaraju
  University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio, USA (T.F., V.V., V.K., R.B., L.K.B., N.F.).
• Richard Barger
  University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio, USA (T.F., V.V., V.K., R.B., L.K.B., N.F.).
• Julien Vidal
  Azmed, 10 Rue d'Uzès, 75002, Paris, France (A.A., E.Z.A., J.V.).
• Leonardo K Bittencourt
  University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio, USA (T.F., V.V., V.K., R.B., L.K.B., N.F.).
• Navid Faraji
  University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio, USA (T.F., V.V., V.K., R.B., L.K.B., N.F.).

Keywords

External Resources