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A practical introduction to artificial intelligence in medicine

A practical introduction to artificial intelligence in medicine

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Following visible successes on a wide range of predictive tasks, machine learning techniques are attracting substantial interest from medical researchers and clinicians. We address the need for capacity development in this area by providing a conceptual introduction to machine learning alongside a practical guide to developing and evaluating predictive algorithms using freely-available open source software and public domain data.

Chapter Contents:

  • Prologue
  • 11.1 Why does medicine need AI and why are radiologists leading the forefront?
  • 11.2 Basics of artificial intelligence
  • 11.3 Problem identification
  • 11.4 Data collection
  • 11.5 Data labeling
  • 11.6 Validation
  • 11.7 Deployment and integration
  • References

Inspec keywords: medical computing; learning (artificial intelligence)

Other keywords: medicine; medical researchers; artificial intelligence; machine learning techniques; medical clinicians; predictive algorithms; public domain data; freely-available open source software

Subjects: Biology and medical computing; Knowledge engineering techniques

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