TY - JOUR
T1 - How does the radiology community discuss the benefits and limitations of artificial intelligence for their work? A systematic discourse analysis
AU - Kim, Bomi
AU - Koopmanschap, Isabel
AU - Mehrizi, Mohammad H.Rezazade
AU - Huysman, Marleen
AU - Ranschaert, Erik
PY - 2021/3
Y1 - 2021/3
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Deep learning
KW - Discourse
KW - Machine learning
KW - Perceived benefits and limitations
KW - Social media
UR - http://www.scopus.com/inward/record.url?scp=85100403266&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85100403266&partnerID=8YFLogxK
U2 - 10.1016/j.ejrad.2021.109566
DO - 10.1016/j.ejrad.2021.109566
M3 - Article
AN - SCOPUS:85100403266
SN - 0720-048X
VL - 136
SP - 1
EP - 6
JO - European Journal of Radiology
JF - European Journal of Radiology
M1 - 109566
ER -