Artificial intelligence in clinical imaging: a health system approach. Issue 1 (January 2020)

• Record Type: Journal Article
• Authors: Gilbert, F.J.; Smye, S.W.; Schönlieb, C.-B.
• Is Part Of: Clinical radiology. Volume 75:Issue 1(2020)
• Page Start: 3
• Page End: 6
• Publication Date: 2020-01
• Subjects: Medical radiology -- Periodicals; Radiotherapy -- Periodicals; Radiotherapy -- Periodicals; Radiology -- Periodicals; Societies, Medical -- Periodicals; Medical radiology; Radiotherapy; Electronic journals; Periodicals; 616.0757
• DOI: 10.1016/j.crad.2019.09.122
• Languages: English
• ISSNs: 0009-9260

Abstract

Abstract : The development and application of artificial intelligence (AI) to radiology requires an approach that encompasses a health system. The UK government and National Health Service (NHS) are creating an ecosystem to facilitate academic/industrial partnerships aimed at accelerating the creation of relevant and robust AI tools, which will improve the development and delivery of healthcare imaging. A series of recent initiatives are described, which will drive the development and adoption of AI in clinical imaging.