A wellbeing podcast for diagnostic radiography students.

Introduction: Diagnostic radiography students experience challenges during clinical placements, which have the potential to impact students' emotional wellbeing. This study aimed to explore radiography students' perception of the newly developed podcast series as a wellbeing support tool.

Methods: A mixed methods study was conducted analysing data from listeners, including usage data from the podcast host site, surveys, and focus groups.

Framework for a radiography student podcast.

Podcasts refer to episodes of audio content that are readily available on streaming applications on smartphones or computers. This paper reports on the development of the 'Breathe In Radiography Podcast' series for radiography students and provides suggestions for evaluation. Podcast development followed a structured framework, including identification of podcast topics and expert guests, content development, audio recording, episode upload to host site and distribution.

Explaining the practicum experiences of diagnostic radiography undergraduates in Australia and Ethiopia using the theory of human relatedness.

Introduction: Practice learning is critical to the development of clinical skills; hence placements are a major component of all pre-registration radiography programmes. Nonetheless, dissatisfaction with practicum experiences is a common reason why students consider leaving such programmes. Providing effective placements which promote retention may not only require better appreciation of students' clinical reflections, but also a more fundamental understanding of the implicit criteria they use to appraise a practicum.

Teaching evidence-based practice: Case study of an integrated assessment task for diagnostic radiography students.

Introduction: A core competency for all health care professionals is evidence-based practice (EBP). An understanding of research skills are key to diagnostic radiographers adopting EBP, and should be taught and assessed in curricula leading to eligibility to register and practice. This paper focuses on the design, implementation and initial evaluation of an assessment task in the Diagnostic Radiography (DR) curriculum at an Australian university, which aimed to facilitate students' skills to identify and interpret research methods and output as a foundation for EBP by combining with EBP and DR theoretical content.

Using Occlusion-Based Saliency Maps to Explain an Artificial Intelligence Tool in Lung Cancer Screening: Agreement Between Radiologists, Labels, and Visual Prompts.

Occlusion-based saliency maps (OBSMs) are one of the approaches for interpreting decision-making process of an artificial intelligence (AI) system. This study explores the agreement among text responses from a cohort of radiologists to describe diagnostically relevant areas on low-dose CT (LDCT) images. It also explores if radiologists' descriptions of cases misclassified by the AI provide a rationale for ruling out the AI's output.