Artificial Intelligence in Radiology: an introduction to the most important concepts.

Journal: Radiologia
Published Date:

Abstract

The interpretation of medical imaging tests is one of the main tasks that radiologists do. For years, it has been a challenge to teach computers to do this kind of cognitive task; the main objective of the field of computer vision is to overcome this challenge. Thanks to technological advances, we are now closer than ever to achieving this goal, and radiologists need to become involved in this effort to guarantee that the patient remains at the center of medical practice. This article clearly explains the most important theoretical concepts in this area and the main problems or challenges at the present time; moreover, it provides practical information about the development of an artificial intelligence project in a radiology department.

Authors

  • A Pérez Del Barrio
    Servicio de Radiodiagnóstico, Hospital Universitario Marqués de Valdecilla, Santander, Cantabria, Spain. Electronic address: amaia.pdb@gmail.com.
  • P Menéndez Fernández-Miranda
    Servicio de Radiodiagnóstico, Hospital Universitario Marqués de Valdecilla, Santander, Cantabria, Spain.
  • P Sanz Bellón
    Servicio de Radiodiagnóstico, Hospital Universitario Marqués de Valdecilla, Santander, Cantabria, Spain.
  • L Lloret Iglesias
    Instituto de Física de Cantabria, Consejo Superior de Investigaciones Científicas (CSIC), Universidad de Cantabria, Santander, Cantabria, Spain.
  • D Rodríguez González
    Instituto de Física de Cantabria, Consejo Superior de Investigaciones Científicas (CSIC), Universidad de Cantabria, Santander, Cantabria, Spain.