Keywords:
Artificial Intelligence, Professional issues, Radiographers, Neural networks, Computer Applications-General, Health policy and practice, Technology assessment, Education and training, Quality assurance, Workforce
Authors:
K. Bol, C. Vroonland, H. Bijwaard
DOI:
10.26044/ecr2022/C-16092
Methods and materials
In order to fulfill the need for online specific radiographer-oriented education in AI a project has been funded by the Dutch Taskforce for Applied Research (SIA) that will run until March 2023. The main goal is to develop an online AI education (e-learning) to educate and train radiographers. As a first step a literature study was conducted in the form of a scoping review (4). This scoping review answers the question ‘How is radiological/radiotherapeutic AI developing now and in the near future with regard to everyday work of radiographers’. The results of this review will be used as input for focus groups with AI experts to obtain better insight into which developments will lead to future changes for the everyday work of radiographers.
Search strings were formulated including synonyms of “AI” and “radiographer”, and applied in search engines like Pubmed, Scopus and Google Scholar. A total of 70 articles were found, ranging from review, prospective, retrospective to survey articles. In addition information from webinars, websites, department specific literature, guidelines and reports was included, as well as theses written by student radiographers.