The Potential and Reality of AI in Clinical Application

McKenna Bryant

Disclosures

Appl Radiol. 2020;49(2):10-11. 

In This Article

Abstract and Introduction

Introduction

As artificial intelligence (AI) technologies move from theory to application, the field will become more dynamic and more engaging than ever. New and varied AI tools have the ability to improve scan speed, image quality, and radiologist workflow and productivity. The clinical implications, however, are less clear. Knowing which technologies and platforms are ready for practice and which are little more than hype can be hard to discern.

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