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Artificial Intelligence and Machine Learning in Radiology 

Artificial Intelligence and Machine Learning in Radiology
Artificial Intelligence and Machine Learning in Radiology

Michael A. Bruno

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date: 02 April 2020

This final chapter, which assumes no prior reader knowledge of the topic, reviews the promise of artificial intelligence (AI), especially machine learning and deep learning in radiology. We initially discuss key concepts in the field of AI and gain a broad overview of the field and its potential, as well as the impact it is having on multiple areas of human endeavor. Subsequently, we focus on current and projected aspects of AI as applied to diagnostic radiology, specifically on how AI might provide an avenue for error prevention and remediation in radiology. The possible impact of AI in changing the radiologist’s role and basic job description is also considered.

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