A Practical Guide to Artificial Intelligence–Based Image Analysis in Radiology. Issue 1 (January 2020)

• Record Type: Journal Article
• Authors: Weikert, Thomas; Cyriac, Joshy; Yang, Shan; Nesic, Ivan; Parmar, Victor; Stieltjes, Bram
• Is Part Of: Investigative radiology. Volume 55:Issue 1(2020)
• Publication Date: 2020-01
• Subjects: artificial intelligence -- machine learning -- radiology -- computer-assisted image processing -- medical informatics -- natural language processing; Diagnosis, Radioscopic -- Periodicals; Radiology, Medical -- Periodicals; 616.0757
• DOI: 10.1097/RLI.0000000000000600
• Languages: English
• ISSNs: 0020-9996

Abstract

Abstract : Abstract: The use of artificial intelligence (AI) is a powerful tool for image analysis that is increasingly being evaluated by radiology professionals. However, due to the fact that these methods have been developed for the analysis of nonmedical image data and data structure in radiology departments is not "AI ready", implementing AI in radiology is not straightforward. The purpose of this review is to guide the reader through the pipeline of an AI project for automated image analysis in radiology and thereby encourage its implementation in radiology departments. At the same time, this review aims to enable readers to critically appraise articles on AI-based software in radiology.