Artificial Intelligence and Machine Learning Technologies in Cancer Care: Addressing Disparities, Bias, and Data Diversity.

Journal: Cancer discovery
Published Date:

Abstract

Artificial intelligence (AI) and machine learning (ML) technologies have not only tremendous potential to augment clinical decision-making and enhance quality care and precision medicine efforts, but also the potential to worsen existing health disparities without a thoughtful, transparent, and inclusive approach that includes addressing bias in their design and implementation along the cancer discovery and care continuum. We discuss applications of AI/ML tools in cancer and provide recommendations for addressing and mitigating potential bias with AI and ML technologies while promoting cancer health equity.

Authors

  • Irene Dankwa-Mullan
    1 IBM Corporation, Watson Health, Bethesda, Maryland.
  • Dilhan Weeraratne
    IBM Watson Health, Cambridge, Massachusetts, USA.