Bomi Kim1, Isabel Koopmanschap2, Mohammad H Rezazade Mehrizi3, Marleen Huysman4, Erik Ranschaert5. 1. 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. 2. Department of Anthropology, Faculty of Social and Behavioral Sciences, University of Amsterdam, Roeterseiland Campus, Nieuwe Achtergracht 166, 1018 WV, Amsterdam, the Netherlands. Electronic address: i.koopmanschap@uva.nl. 3. KIN Center for Digital Innovation, School of Business and Economics, Vrije Universiteit Amsterdam, the Netherlands. Electronic address: m.rezazademehrizi@vu.nl. 4. KIN Center for Digital Innovation, School of Business and Economics, Vrije Universiteit Amsterdam, the Netherlands. Electronic address: m.h.huysman@vu.nl. 5. Department of Radiology, Elisabeth-Tweesteden Hospital (ETZ), Doctor Deelenlaan 5, 5042 AD, Tilburg, the Netherlands; Ghent University, St. Pietersnieuwstraat 33, 9000, Gent, Belgium. Electronic address: e.ranschaert@etz.nl.
Abstract
PURPOSE: We aimed to systematically analyse how the radiology community discusses the concept of artificial intelligence (AI), perceives its benefits, and reflects on its limitations. METHODS: We conducted a qualitative, systematic discourse analysis on 200 social-media posts collected over a period of five months (April-August 2020). RESULTS: The 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. CONCLUSIONS: Further 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.
PURPOSE: We aimed to systematically analyse how the radiology community discusses the concept of artificial intelligence (AI), perceives its benefits, and reflects on its limitations. METHODS: We conducted a qualitative, systematic discourse analysis on 200 social-media posts collected over a period of five months (April-August 2020). RESULTS: The 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. CONCLUSIONS: Further 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.
Authors: Mohammad H Rezazade Mehrizi; Simon H Gerritsen; Wouter M de Klerk; Chantal Houtschild; Silke M H Dinnessen; Luna Zhao; Rik van Sommeren; Abby Zerfu Journal: Eur Radiol Date: 2022-08-18 Impact factor: 7.034