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Cost-Effectiveness of AI for Risk-Stratified Breast Cancer Screening.

Harry HillCristina RoadevinStephen DuffyOlena MandrikAdam Brentnall
Published in: JAMA network open (2024)
In this decision analytical model study of integrating risk-stratified screening with a breast cancer AI model into the UK National Breast Cancer Screening Program, risk-stratified screening was likely to be cost-effective, yielding added health benefits at reduced costs. These results are particularly relevant for health care settings where resources are under pressure. New studies to prospectively evaluate AI-guided screening appear warranted.
Keyphrases
  • healthcare
  • artificial intelligence
  • quality improvement
  • mass spectrometry
  • risk assessment
  • cross sectional
  • health information
  • breast cancer risk
  • case control