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Artificial Intelligence in Medicine: Validation and Study Design

  • Luke Oakden-Rayner
  • Lyle John Palmer
Chapter

Abstract

There has been a vast expansion in the volume of artificial intelligence (AI) research in biomedicine over the last several years. Simultaneously, we have begun to see the first medical AI systems rapidly translating from research into clinical practice. Evaluating AI systems for clinical tasks can be quite different than for other applications of AI. In medicine, the stakes are often higher—both risks and rewards. In this chapter, we explore key concepts underpinning the design, performance and validation of medical AI experiments. We also discuss several unresolved challenges the field currently faces.

Keywords

Study design Medical AI Deep learning Machine learning 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Luke Oakden-Rayner
    • 1
    • 2
  • Lyle John Palmer
    • 1
    • 2
  1. 1.School of Public Health, The University of AdelaideAdelaideAustralia
  2. 2.Australian Institute of Machine LearningAdelaideAustralia

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