Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents.

Journal: JAMA network open
Published Date: Oct 1, 2020

Abstract

IMPORTANCE: Chest radiography is the most common diagnostic imaging examination performed in emergency departments (EDs). Augmenting clinicians with automated preliminary read assistants could help expedite their workflows, improve accuracy, and reduce the cost of care.

Authors

  • Joy T Wu
    IBM Almaden Research Center, San Jose, CA.
  • Ken C L Wong
    IBM Research - Almaden Research Center, San Jose, CA, USA. Electronic address: clwong@us.ibm.com.
  • Yaniv Gur
    IBM Almaden Research Center, San Jose, CA.
  • Nadeem Ansari
    IBM Research, Almaden, San Jose, California.
  • Alexandros Karargyris
    IHU Strasbourg, Strasbourg, France.
  • Arjun Sharma
    Robotics Institute, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
  • Michael Morris
    IBM Research, Almaden, San Jose, California.
  • Babak Saboury
    IBM Research, Almaden, San Jose, California.
  • Hassan Ahmad
    IBM Almaden Research Center, San Jose, CA.
  • Orest Boyko
    IBM Almaden Research Center, San Jose, California, USA.
  • Ali Syed
    IBM Almaden Research Center, San Jose, CA.
  • Ashutosh Jadhav
    IBM Almaden Research Center, San Jose, CA.
  • Hongzhi Wang
  • Anup Pillai
    IBM Almaden Research Center, San Jose, CA.
  • Satyananda Kashyap
    IBM Research, San Jose, CA, USA.
  • Mehdi Moradi
    IBM Almaden Research Center, San Jose, CA.
  • Tanveer Syeda-Mahmood
    IBM Almaden Research Center, San Jose, CA.

Keywords

External Resources

Popular Topics
Recent Journals