Lessons on AI implementation from senior clinical practitioners: An exploratory qualitative study in medical imaging and radiotherapy in the UK.

Introduction: Artificial Intelligence (AI) has the potential to transform medical imaging and radiotherapy; both fields where radiographers' use of AI tools is increasing. This study aimed to explore the views of those professionals who are now using AI tools.

Methods: A small-scale exploratory research process was employed, where qualitative data was obtained from five UK-based participants; all professionals working in medical imaging and radiotherapy who use AI in clinical practice.

AI implementation in the UK landscape: Knowledge of AI governance, perceived challenges and opportunities, and ways forward for radiographers.

Introduction: Despite the rapid increase of AI-enabled applications deployed in clinical practice, many challenges exist around AI implementation, including the clarity of governance frameworks, usability of validation of AI models, and customisation of training for radiographers. This study aimed to explore the perceptions of diagnostic and therapeutic radiographers, with existing theoretical and/or practical knowledge of AI, on issues of relevance to the field, such as AI implementation, including knowledge of AI governance and procurement, perceptions about enablers and challenges and future priorities for AI adoption.

Methods: An online survey was designed and distributed to UK-based qualified radiographers who work in medical imaging and/or radiotherapy and have some previous theoretical and/or practical knowledge of working with AI.

Responsible AI practice and AI education are central to AI implementation: a rapid review for all medical imaging professionals in Europe.

Artificial intelligence (AI) has transitioned from the lab to the bedside, and it is increasingly being used in healthcare. Radiology and Radiography are on the frontline of AI implementation, because of the use of big data for medical imaging and diagnosis for different patient groups. Safe and effective AI implementation requires that responsible and ethical practices are upheld by all key stakeholders, that there is harmonious collaboration between different professional groups, and customised educational provisions for all involved.

Toward Autism-Friendly Magnetic Resonance Imaging: Exploring Autistic Individuals' Experiences of Magnetic Resonance Imaging Scans in the United Kingdom, a Cross-Sectional Survey.

Background: Autistic individuals might undergo a magnetic resonance imaging (MRI) examination for clinical concerns or research. Increased sensory stimulation, lack of appropriate environmental adjustments, or lack of streamlined communication in the MRI suite may pose challenges to autistic patients and render MRI scans inaccessible. This study aimed at (i) exploring the MRI scan experiences of autistic adults in the United Kingdom; (ii) identifying barriers and enablers toward successful and safe MRI examinations; (iii) assessing autistic individuals' satisfaction with MRI service; and (iv) informing future recommendations for practice improvement.

Current pressure on the UK imaging workforce deters imaging research in the NHS and requires urgent attention.

Medical imaging is a multidisciplinary specialty, combining clinical expertise from medical physics, radiography, and radiology, and plays a key role in patient care. Research is vital to ensure the care delivered to patients is evidence-based, and is a core component of clinical governance; however, there are pressures on the imaging workforce, which are significantly impeding imaging research. This commentary presents a research gap analysis pertaining to the multidisciplinary imaging workforce on behalf of the National Institute for Health Research (NIHR) Imaging Workforce Group.

UK reporting radiographers' perceptions of AI in radiographic image interpretation - Current perspectives and future developments.

Introduction: Radiographer reporting is accepted practice in the UK. With a national shortage of radiographers and radiologists, artificial intelligence (AI) support in reporting may help minimise the backlog of unreported images. Modern AI is not well understood by human end-users.

An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey.

Introduction: As a profession, radiographers have always been keen on adapting and integrating new technologies. The increasing integration of artificial intelligence (AI) into clinical practice in the last five years has been met with scepticism by some, who predict the demise of the profession, whilst others suggest a bright future with AI, full of opportunities and synergies. Post COVID-19 pandemic need for economic recovery and a backlog of medical imaging and reporting may accelerate the adoption of AI.

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 use of artificial intelligence (AI) in medical imaging and radiotherapy has been met with both scepticism and excitement. However, clinical integration of AI is already well-underway. Many authors have recently reported on the AI knowledge and perceptions of radiologists/medical staff and students however there is a paucity of information regarding radiographers.

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

Introduction: Artificial intelligence (AI) has started to be increasingly adopted in medical imaging and radiotherapy clinical practice, however research, education and partnerships have not really caught up yet to facilitate a safe and effective transition. The aim of the document is to provide baseline guidance for radiographers working in the field of AI in education, research, clinical practice and stakeholder partnerships. The guideline is intended for use by the multi-professional clinical imaging and radiotherapy teams, including all staff, volunteers, students and learners.

The College of Radiographers Research Strategy for the next five years.

This article outlines the updated College of Radiographers (CoR) Research Strategy. This new research strategy will shape the approach to research from the radiography profession over the next five years. This will apply to all the profession and is aspirational and future thinking.

Healthcare professionals' perceptions of the implementation of the transitional discharge model for community integration of psychiatric clients.

Research has demonstrated the benefits of mental healthcare interventions that ensure a safe transition of clients throughout the discharge and community integration process. This paper reports on qualitative data from focus groups with health professionals collected as part of a larger a mixed method study designed to examine the effectiveness and sustainability of implementing the transitional discharge model. Data collection involved two sets of focus groups, which were held at six months and one-year post-implementation.

A review of visual ethnography: Radiography viewed through a different lens.

Introduction: The objective of this article is to provide a short review of the research methodology 'visual ethnography'.

Method: The review article will provide a summary of the foundations of visual ethnography, outline the key debates and refer to some of the main authors working in this field.

Results: Visual Ethnography is both a methodology and a method of research.

The use of technology for mental healthcare delivery among older adults with depressive symptoms: A systematic literature review.

Depression has been identified as the single largest contributor to poor health and functioning worldwide. Global estimates indicate that 4.4% of the world's population lives with depression, equating to about 322 million individuals.

Retaining a Sample of Homeless Youth.

Objective: Hard to reach populations need to be included in research studies to ensure proper representation of the general population. This paper explores tracking strategies used in the Youth Matters in London project to retain a sample of homeless youth.

Method: A total of 187 youth, aged between 16 and 24 years, homeless or precariously housed, and experiencing a serious mental health issue were recruited at a community drop-in center, by word of mouth and by snowball sampling.

Nursing Students' Perceptions of Participatory Action Research.

Background: This article evaluates the experience of students engaged in a participatory action research project.

Method: Nursing students were assigned to research activities addressing poverty and social inclusion in the lives of individuals with mental health issues. Focus group interviews were held with 25 students, representing 58.

Van der Waals interfaces in epitaxial vertical metal/2D/3D semiconductor heterojunctions of monolayer and GaN.

A promising approach for high speed and high power electronics is to integrate two-dimensional (2D) materials with conventional electronic components such as bulk (3D) semiconductors and metals. In this study we explore a basic integration step of inserting a single monolayer () inside a -GaN junction and elucidate how it impacts the structural and electrical properties of the junction. Epitaxial in the form of 1-2 m triangle domains are grown by powder vaporization on a -doped GaN substrate, and the Au capping layer is deposited by evaporation.

Vertical 2D/3D Semiconductor Heterostructures Based on Epitaxial Molybdenum Disulfide and Gallium Nitride.

When designing semiconductor heterostructures, it is expected that epitaxial alignment will facilitate low-defect interfaces and efficient vertical transport. Here, we report lattice-matched epitaxial growth of molybdenum disulfide (MoS2) directly on gallium nitride (GaN), resulting in high-quality, unstrained, single-layer MoS2 with strict registry to the GaN lattice. These results present a promising path toward the implementation of high-performance electronic devices based on 2D/3D vertical heterostructures, where each of the 3D and 2D semiconductors is both a template for subsequent epitaxial growth and an active component of the device.

Client perceptions of the mental health engagement network: a qualitative analysis of an electronic personal health record.

Background: Information technologies such as websites, mobile phone applications, and virtual reality programs have been shown to deliver innovative and effective treatments for mental illness. Much of the research studying electronic mental health interventions focuses on symptom reduction; however, to facilitate the implementation of electronic interventions in usual mental health care, it is also important to investigate the perceptions of clients who will be using the technologies. To this end, a qualitative analysis of focus group discussions regarding the Mental Health Engagement Network, a web-based personal health record and smartphone intervention, is presented here.

The effectiveness of BCG and interferon against non-muscle invasive bladder cancer: a New Zealand perspective.

Objective: To ascertain whether the current practice at Auckland City Hospital of adding interferon to BCG in patients with high risk or recurrent non-muscle invasive bladder cancer (NMIBC) unable or unwilling to undergo radical cystectomy is effective.

Subjects And Method: This study examined all institutional cases where BCG alone had not been effective or tolerated as primary treatment for NMIBC and the next guideline agreed step of radical cystectomy was unable to be performed. We identified all patients unwilling or unable to undergo radical cystectomy due to patient co-morbidities or preference for whom ongoing treatment and care was required and included 45 in the data analysis.