Introduction: Artificial Intelligence (AI) is increasingly implemented in medical imaging practice, however, its impact on radiographers practice is not well studied. The aim of this study was to explore the perceived impact of AI on radiographers' activities and profession in Switzerland.
Methods: A survey conducted in the UK, translated into French and German, was disseminated through professional bodies and social media.
J Med Imaging Radiat Sci
September 2023
Aim: To overview Artificial Intelligence (AI) developments and applications in breast imaging (BI) focused on providing person-centred care in diagnosis and treatment for breast pathologies.
Methods: The scoping review was conducted in accordance with the Joanna Briggs Institute methodology. The search was conducted on MEDLINE, Embase, CINAHL, Web of science, IEEE explore and arxiv during July 2022 and included only studies published after 2016, in French and English.
Objective: To produce information about factors related to successful and unsuccessful breast cancer care pathways from the health care staff perspective.
Materials And Methods: An electronic qualitative survey was used to collect data simultaneously from hospitals located in four different countries, focusing on four professional groups: diagnostic radiographers; radiation therapists; breast cancer nurses; and biomedical laboratory scientists (n = 23). The hospitals participating in the study treat breast cancer patients and research permits were applied from all of them.