Programme/Approved Electives for 2025/26
None
Available as a Free Standing Elective
No
Having understood the principles and equipment of projectional radiography and acquired foundational knowledge in research methods at the previous level of study, this module builds on that base to present the principles, equipment and techniques of cross-sectional imaging modalities and the use of machine learning and artificial intelligence in radiography. These will be taught alongside the skills required to critically appraise the radiographic literature. The student will develop the skills to systematically search and review the literature and a working knowledge of research methods and paradigms in order to construct a research proposal to address a particular research question, selecting appropriate research methods. This final research proposal is expected to form the basis of the student’s final year dissertation.
Aims
The aim of the module is to provide the learner with an understanding of the principles, equipment and techniques of the various technologies within Diagnostic Imaging. To enable the student to use this understanding to recommend appropriate imaging strategies to address clinical questions and evaluate imaging techniques with reference to the radiographic literature. Learners will also be equipped to identify appropriate research questions and methods to advance the evidence base, in preparation for their final year dissertation.
Intended Learning Outcomes
Evaluate and compare imaging strategies, employing understanding of the principles, equipment and techniques of imaging modalities and evidence from the radiographic literature.: 1Understand the essential principles of, and begin to evaluate, the use of artificial intelligence and machine learning in aspects of diagnostic imaging: 1Formulate effective search strategies using health related databases: 2Further develop critical appraisal skills to assess the quality of relevant literature: 1Select appropriate research designs for a range of research questions and recognise the strengths and limitations of each design: 2Select appropriate descriptive statistics and an appropriate method of analysis for a proposed research project: 2Develop a research proposal including any necessary ethical considerations and possible dissemination strategies: 2
Scheduled active learning:Seminars and workshops ~ 20 hoursIn situ or synchronous Lectures ~ 30 hoursAsynchronous material (pre-recorded lectures and Sways etc) ~ 15 hoursIndependent studyPrep for seminars/workshops ~ 20 hoursAssessment 1 prep and writing ~ 40 hoursAssessment 2 prep and writing ~ 55 hoursAdditional reading and independent study ~ 120 hours
Description of Module Assessment
1: Presentation weighted 40%Oral presentation (Article Critique)Students will review and prepare an evaluation of a directed article covering the various technologies and research methodologies discussed in the indicative content of the module. Students will be orally assessed on their critical appraisal of this article, through a 12 - minute interactive discussion supported by presentation slides.
2: Literature Review weighted 60%2,500 word scoping review of literature and a 500 word research proposal based on thisA 2,500 word scoping of the literature around a particular topic in Diagnostic Imaging, which
evidences both systematic development of a search strategy and data extraction processes.
The outcome of the process within this scoping review should lead to the construction of a
viable 500 word research proposal to be undertaken at level 6.