Artificial intelligence in medicine: Technical basis and clinical applications

Research output: Chapter in Book/Report/Conference proceedingChapter


There has been a revolution in the past decade as “deep learning” has begun to show high performance with robust reliability in the real world for many imaging tasks. Current deep learning technologies are being applied to medical imaging tasks with good results, which has prompted great interest in applying them broadly into clinical practice. This chapter describes the basic principles of deep learning methods and some common applications in medical imaging.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence in Medicine
Subtitle of host publicationTechnical Basis and Clinical Applications
PublisherElsevier Applied Science
Number of pages16
ISBN (Electronic)9780128212592
ISBN (Print)9780128212585
StatePublished - Jan 1 2020


  • convolutional neural network
  • Deep learning
  • fully connected network
  • generative adversarial network
  • loss function
  • residual block

ASJC Scopus subject areas

  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)


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