Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group

Beauty Is in the AI of the Beholder: Are We Ready for the Clinical Integration of Artificial Intelligence in Radiography? An Exploratory Analysis of Perceived AI Knowledge, Skills, Confidence, and Education Perspectives of UK Radiographers

“…The focus of this survey was to establish a “snapshot” of UK radiographers' perceived knowledge, skills and confidence in AI and to establish the specific detail of the educational need and preferences of this workforce, in line with AI radiography guidance and priorities ( 43 ). Furthermore, as an exploratory study it would help provide direction for future targeted AI research projects in the under-researched field of radiography.…”

“…These initial survey was further modified and expanded with new questions based on input from all listed authors, many of whom are members of the “Society and College of Radiographers Artificial Intelligence Working Party,” who have a range of senior clinical and academic experience. The survey content is drawing upon current research evidence as outlined in introduction, as well as from the themes presented on the Society of Radiographers (SCoR) AI guidance document for radiography professionals ( 43 ).…”

“…Face validity, a subjective measure which concerns whether or not the instrument appears to potential test takers to be assessing what it intended to measure ( 48 ) has been assessed and ensured for our study (in terms of feasibility, readability, consistency of formatting, the clarity of the language used), through the piloting phase of the survey ( 49 ). Content validity, “the degree to which items in an instrument reflect the content universe to which the instrument will be generalised” ( 50 ) was ensured by the design and review of this work by the SCoR AI working party and other AI radiography experts, the piloting with another team of AI experts with varying demographics and professional backgrounds and by being grounded on relevant research evidence, including the SCoR AI guidance document for radiographers, which outlined priorities for AI adoption within the radiography workforce in all areas of practise, including education ( 43 ). The validation of the questionnaire was conducted by a panel of experts in the medical imaging and AI field, which included 12 qualified, practising radiographers, academics, students, and clinical staff, with a range of clinical experience from <1 year to >20 years.…”

“…This can be described as a form of “AI literacy” that should be included in both pre and post registration programmes, along with education for the whole workforce. The Society and College of Radiographers' AI Working Party has also recently offered recommendations for education and training of radiographers on AI theory and applications ( 43 ).…”

Identification of research priorities of radiography science: A modified Delphi study in Europe

“…These were technical innovations, patient and public experience, service and workforce transformation, accuracy and safety, and education and training. The Society of Radiographers working group for artificial intelligence (AI; Malamateniou et al, 2021) found that radiography research priorities should be set to investigate the impact of AI technologies on patients in medical imaging and radiotherapy, radiographer role development, and the development of practices with emerging AI‐based technology. In Finland, the research focus in radiography science is reportedly in clinical radiographers' work, technical radiation usage and radiation protection, patient care and service, and service for a health care context (Sorppanen, 2006).…”