Current and emerging artificial intelligence applications in chest imaging: a pediatric perspective.

Journal: Pediatric radiology
Published Date:

Abstract

Artificial intelligence (AI) applications for chest radiography and chest CT are among the most developed applications in radiology. More than 40 certified AI products are available for chest radiography or chest CT. These AI products cover a wide range of abnormalities, including pneumonia, pneumothorax and lung cancer. Most applications are aimed at detecting disease, complemented by products that characterize or quantify tissue. At present, none of the thoracic AI products is specifically designed for the pediatric population. However, some products developed to detect tuberculosis in adults are also applicable to children. Software is under development to detect early changes of cystic fibrosis on chest CT, which could be an interesting application for pediatric radiology. In this review, we give an overview of current AI products in thoracic radiology and cover recent literature about AI in chest radiography, with a focus on pediatric radiology. We also discuss possible pediatric applications.

Authors

  • Steven Schalekamp
    From the Diagnostic Image Analysis Group, Radboud University Medical Center, Geert Groteplein 10, Nijmegen 6500 HB, the Netherlands (K.M., E.T.S., S.S., C.M.S., B.v.G.); Department of Radiology, Bernhoven Hospital, Uden, the Netherlands (H.S.); Department of Radiology, Jeroen Bosch Hospital, 's-Hertogenbosch, the Netherlands (A.J.G.K., M.B.J.M.K., T.S., M.R.); Department of Radiology, Meander Medisch Centrum, Amersfoort, the Netherlands (C.M.S.); and Thirona, Nijmegen, the Netherlands (R.H.H.M.P., A.M., J.M.).
  • Willemijn M Klein
    Department of Medical Imaging, Radboud University Medical Center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands.
  • Kicky G van Leeuwen
    Department of Medical Imaging, Radboud university medical center, P.O. Box 9101, 6500 HB, Nijmegen, The Netherlands. kicky.vanleeuwen@radboudumc.nl.