Automated abdominal CT contrast phase detection using an interpretable and open-source artificial intelligence algorithm.

Journal: European radiology
Published Date:

Abstract

OBJECTIVES: To develop and validate an open-source artificial intelligence (AI) algorithm to accurately detect contrast phases in abdominal CT scans.

Authors

  • Eduardo Pontes Reis
    Department of Radiology, Stanford University, Stanford, CA, USA. eduardo.reis@einstein.br.
  • Louis Blankemeier
    Department of Electrical Engineering, Stanford University, Stanford, CA, USA.
  • Juan Manuel Zambrano Chaves
    Microsoft Research, Redmond, WA, USA.
  • Malte Engmann Kjeldskov Jensen
    Department of Radiology, Stanford University, Stanford, CA, USA.
  • Sally Yao
    Department of Radiology, Stanford University, Stanford, CA, USA.
  • Cesar Augusto Madid Truyts
    Hospital Israelita Albert Einstein, Sao Paulo, Brazil.
  • Marc H Willis
    Department of Radiology, Stanford University, Stanford, CA, USA.
  • Scott Adams
    Department of Radiology, Stanford University, Stanford, CA, USA.
  • Edson Amaro
    Department of Radiology, School of Medicine, University of Sao Paulo, São Paulo, Brazil.
  • Robert D Boutin
    Department of Radiology, University of California, Davis, School of Medicine, Sacramento, California.
  • Akshay S Chaudhari
    Department of Radiology, Stanford University, Stanford, California.