Artificial intelligence in radiology: how will we be affected?

Since radiologists are not computer science trained we should attempt to familiarise ourselves with several key terms. Artificial intelligence is ‘the capability of a machine to imitate intelligent human behaviour’ [1]. Machine learning concerns ‘the question of how to construct computer programs th...

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Bibliographic Details
Published in:European radiology 2019, Vol.29 (1), p.141-143
Main Authors: Wong, S. H., Al-Hasani, H., Alam, Z., Alam, A.
Format: Article
Language:English
Subjects:
Artificial Intelligence
Computer Applications
Diagnosis, Computer-Assisted - methods
Diagnostic Radiology
Humans
Imaging
Internal Medicine
Interventional Radiology
Medicine
Medicine & Public Health
Neuroradiology
Radiology
Radiology - methods
Ultrasound
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Summary:Since radiologists are not computer science trained we should attempt to familiarise ourselves with several key terms. Artificial intelligence is ‘the capability of a machine to imitate intelligent human behaviour’ [1]. Machine learning concerns ‘the question of how to construct computer programs that automatically improve with experience’ [2]. Deep learning is a class of machine learning ‘concerned with algorithms inspired by the structure and function of the brain.’ Silicon Valley The big step for AI has been ‘deep learning’, which involves feeding computer systems large amounts of existing data to, in essence, make decisions based on examples.
ISSN:0938-7994
1432-1084
DOI:10.1007/s00330-018-5644-3