RDI-20021 - Imaging Technologies: Principles and Research (Apprentice)
Coordinator: Messiah Nk Anudjo Room: Mac1.17
Lecture Time: See Timetable...
Level: Level 5
Credits: 30
Study Hours: 300
School Office:

Programme/Approved Electives for 2025/26

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2025/26

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 apprentice will develop the skills to systematically search and review the literature and a working knowledge of audit, research methods and paradigms.

Aims
The aim of the module is to provide the apprentice with an understanding of the principles, equipment and techniques of the various technologies within Diagnostic Imaging. To enable them to use this understanding to recommend appropriate imaging strategies to address clinical questions and evaluate imaging techniques with reference to the radiographic literature. Apprentices will be equipped with skills in searching and critiquing the evidence base, including skills in evaluate research questions and methodology, as well as skills in developing appropriate research or audit questions, methodology and analytic method in preparation for their final year project.

Talis Aspire Reading List
Any reading lists will be provided by the start of the course.
http://lists.lib.keele.ac.uk/modules/rdi-20021/lists

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.: 1
Describe the essential principles of, and begin to evaluate the use of artificial intelligence and machine learning in aspects of diagnostic imaging.: 1
Formulate effective search strategies using health related databases.: 2
Further develop critical appraisal skills to assess the quality of relevant literature.: 1
Select appropriate research designs for a range of research questions and recognize the strengths and limitations of each design.: 2
Select appropriate descriptive statistics and an appropriate method of analysis for a proposed research project, service evaluation or audit.: 2
Evaluate ethical considerations relevant to the planning of research and audit.: 2

Study hours

Active learning:
Periodic in situ tutorials ~ 12 hours
Asynchronous directed material ~ 60 hours
Participation in asynchronous group discussion ~ 10 hours
Independent study:
Prep and writing for Assessment 1 ~ 35 hours
Prep and writing for Assessment 2 ~ 60 hours
Self-directed independent study ~ 123 hours

School Rules

None

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 this article, through a 12 - minute interactive discussion supported by presentation slides.

2: Assignment weighted 60%
2,500 word scoping review of literature and a 500 word research proposal based on this
A 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.