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Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography.

Michael H BernsteinMichael K AtalayElizabeth H DibbleAaron W P MaxwellAdib R KaramSaurabh AgarwalRobert C WardTerrance T HealeyGrayson L Baird
Published in: European radiology (2023)
• When AI provided incorrect results, false negative and false positive rates among the radiologists increased. • False positives decreased when AI results were deleted, versus kept, in the patient's record. • False negatives and false positives decreased when AI visually outlined the region of suspicion.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • computed tomography
  • magnetic resonance imaging
  • case report
  • magnetic resonance
  • contrast enhanced
  • label free