• Bomi Kim, Isabel Koopmanschap, MehriziMohammad H RezazadeMHRKIN Center for Digital Innovation, School of Business and Economics, Vrije Universiteit Amsterdam, the Netherlands. Electronic address: m.rezazademehrizi@vu.nl., Marleen Huysman, and Erik Ranschaert.
• KIN Center for Digital Innovation, School of Business and Economics, Vrije Universiteit Amsterdam, De Boelelaan 1105, VU Main Building A-wing, 5th Floor, 1081 HV, Amsterdam, the Netherlands. Electronic address: b.kim@vu.nl.
• Eur J Radiol. 2021 Mar 1; 136: 109566.

PurposeWe aimed to systematically analyse how the radiology community discusses the concept of artificial intelligence (AI), perceives its benefits, and reflects on its limitations.MethodsWe conducted a qualitative, systematic discourse analysis on 200 social-media posts collected over a period of five months (April-August 2020).ResultsThe discourse on AI is active, albeit often referring to AI as an umbrella term and lacking precision on the context (e.g. research, clinical) and the temporal focus (e.g. current AI, future AI). The discourse is also somewhat split between optimism and pessimism. The latter considers a wider range of social, ethical and legal factors than the former, which tends to focus on concrete technologies and their functionalities.ConclusionsFurther precision in the discourse could lead to more constructive conversations around AI. The split between optimism and pessimism calls for a constant exchange and synthesis between the two perspectives. Practical conversations (e.g. business models) remain rare, but may be crucial for an effective implementation of AI in clinical practice.Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.

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