Related Experiment Videos
Artificial intelligence learning objectives in radiography education: A document analysis
D Munro1, J G Couto1, J L Portelli1
1University of Malta, Faculty of Health Sciences, Malta.
Introduction:
Artificial Intelligence (AI) is rapidly changing healthcare delivery and radiography, impacting both practice and education. Despite its significance, there is limited agreement on educational priorities and curriculum organisation for radiographers. This study gathered relevant Learning Outcomes (LOs) for AI education in radiography from existing literature, structuring them according to the European Qualifications Framework (EQF) model of Knowledge, Skills and Competences (KSCs).
Methods:
A literature review was conducted systematically utilising PRISMA reporting guidelines, and thematic analysis was applied using Saldaña's coding framework. Data were coded deductively with the EQF and open-coded to highlight further important aspects of AI education for radiographers.
Results:
Three major themes emerged: Knowledge, Skills, Competencies, with 15 subthemes. The recommended LOs for radiographers range from fundamental practice, such as patient safety, to advanced tasks like coding AI.
Conclusion:
The variety of LOs identified suggests that AI education in radiography cannot be presented as one unified framework. Instead, educational approaches should reflect the different roles radiographers may have in relation to AI, ensuring practitioners at all levels gain the most relevant AI-KSCs.
Implications For Practice:
AI education should be embedded in existing educational structures, with tailored outcomes for specific AI-related roles. Ongoing research is needed to determine which LOs should be prioritised for roles and educational stages.
Related Concept Videos
01:30Radiological Investigation I: X-ray and CT
01:30Radiological Investigation II: MRI and Ventilation Perfusion Scan
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
01:20Nursing Process for Patient and Caregiver Teaching III: Evaluation and Documentation
Nurses can use several methods to evaluate patient outcomes. For example, oral questions can assess cognitive learning, patient...
01:13Radiological Investigation III: Pulmonary Angiogram and PET Scan
Pulmonary Angiogram
A Pulmonary Angiogram is an invasive procedure involving injecting a contrast medium through a catheter threaded into the pulmonary artery or the right side of the heart to visualize the pulmonary vasculature. Computed Tomography (CT) scans have mainly replaced this...