Artificial intelligence in medicine: Technical basis and clinical applications

Bradley J. Erickson

doi:10.1016/B978-0-12-821259-2.00002-8

Artificial intelligence in medicine: Technical basis and clinical applications

Bradley J. Erickson

Radiology

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

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 language	English (US)
Title of host publication	Artificial Intelligence in Medicine
Subtitle of host publication	Technical Basis and Clinical Applications
Publisher	Elsevier Applied Science
Pages	19-34
Number of pages	16
ISBN (Electronic)	9780128212592
ISBN (Print)	9780128212585
DOIs	https://doi.org/10.1016/B978-0-12-821259-2.00002-8
State	Published - Jan 1 2020

Keywords

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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10.1016/B978-0-12-821259-2.00002-8

Cite this

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KW - generative adversarial network

KW - loss function

KW - residual block

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Artificial intelligence in medicine: Technical basis and clinical applications

Abstract

Keywords

ASJC Scopus subject areas

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