Login / Signup

Reader bias in breast cancer screening related to cancer prevalence and artificial intelligence decision support-a reader study.

Hanen Al-BazzazMarina JanicijevicFredrik Strand
Published in: European radiology (2024)
• Breast radiologists' sensitivity and specificity will be affected by changes brought by artificial intelligence. • Reading in a high cancer prevalence setting markedly increased sensitivity and decreased specificity. • Reviewing the binary reads by AI, negative or positive, biased screening radiologists towards the sensitivity and specificity of the AI system.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • papillary thyroid
  • risk factors
  • squamous cell
  • childhood cancer
  • structural basis
  • lymph node metastasis
  • young adults
  • ionic liquid