Artificial Intelligence Enabling Radiology Reporting.

Journal: Radiologic clinics of North America
Published Date:

Abstract

The radiology reporting process is beginning to incorporate structured, semantically labeled data. Tools based on artificial intelligence technologies using a structured reporting context can assist with internal report consistency and longitudinal tracking. To-do lists of relevant issues could be assembled by artificial intelligence tools, incorporating components of the patient's history. Radiologists will review and select artificial intelligence-generated and other data to be transmitted to the electronic health record and generate feedback for ongoing improvement of artificial intelligence tools. These technologies should make reports more valuable by making reports more accessible and better able to integrate into care pathways.

Authors

  • Bernardo C Bizzo
    Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States; Mass General Brigham Data Science Office (DSO), Boston, MA, United States.
  • Renata R Almeida
    Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts; MGH & BWH Center for Clinical Data Science, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts.
  • Tarik K Alkasab
    Massachusetts General Hospital and Harvard Medical School, Radiology, 25 New Chardon Street, Suite 400B, Boston, MA, 02114, USA.