Artificial Intelligence (AI) has developed at high speed the last few years and will substantially change various disciplines (1,2). These changes are also noticeable in the field of radiology, nuclear medicine and radiotherapy. However, the focus of attention has mainly been on the radiologist profession, whereas the role of the radiographer has been largely ignored (3). As long as AI for radiology was focused on image recognition and diagnosis, the little attention for the radiographer might be justifiable. But with AI becoming more and more...

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...

Results show a wide variety of applications of AI that (will) influence the work of radiographers, ranging from changes in everyday workflow, like patient checks, planning of examinations, acquisition of images and post-processing activities, to changes in work flexibility, like cross-modality employability or performing radiologist tasks, and training, implementing and quality control of AI systems. Knowledge of AI, the basics as well as pitfalls, challenges, ethical and legal complications is prerequisite for radiographers. Three main points emerge from the scoping review, summarized in Figure 1...

A wide variety of applications of AI is encountered that (will) influence the work of radiographers. Therefore awareness, training and education of radiographers is necessary. A survey among Dutch radiographers shows that they already encounter AI applications in their everyday work. They indicate a need for (preferably online) education to increase their knowledge about AI. A project has been funded to fulfill this wish. The first step of this project (a scoping review) has been taken and the results will be used as input for...

K. Bol: Nothing to disclose C. Vroonland: Nothing to disclose H. Bijwaard: Nothing to disclose

Daggers J, Brand A. Tussen hoop en hype [Internet]. [cited 2022 Feb 10]. Available from: https://www.nwo.nl/tussen-hoop-en-hype Copeland M. What’s the Difference Between Artificial Intelligence, Machine Learning and Deep Learning? [Internet]. [cited 2022 Feb 10]. Available from: https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/ Hardy M, Harvey H. Artificial intelligence in diagnostic imaging: Impact on the radiography profession. British Journal of Radiology. 2020 Apr 1;93(1108). Munn Z, Peters MDJ, Stern C, Tufanaru C, McArthur A, Aromataris E. Systematic review or scoping review? Guidance for authors when choosing between a systematic or scoping...