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In this study, the authors aimed to develop and validate a patient questionnaire on the patients’ view on the implementation of artificial intelligence (AI) in radiology. Six domains from a previous study were used to develop the patient questionnaire. The questionnaire explored accountability, distrust, personal interaction, and efficiency, among other areas.

Key points

  • Although AI systems are increasingly developed, not much is known about patients’ views on AI in radiology.
  • Since it is important that newly developed questionnaires are adequately tested and validated, we did so for a questionnaire measuring patients’ views on AI in radiology, revealing five factors.
  • Successful implementation of AI in radiology requires assessment of social factors such as subjective norms towards the technology.

Article: Patients’ views on the implementation of artificial intelligence in radiology: development and validation of a standardized questionnaire

Authors: Yfke P. Ongena, Marieke Haan, Derya Yakar & Thomas C. Kwee

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Welcome to the blog on Artificial Intelligence of the European Society of Radiology

This blog aims at bringing educational and critical perspectives on AI to readers. It should help imaging professionals to learn and keep up to date with the technologies being developed in this rapidly evolving field.