Publications by authors named "T O'Regan"

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.

View Article and Find Full Text PDF
Article Synopsis
  • - The study focuses on how medical imaging and radiotherapy (MIRT) professionals in the UK are using artificial intelligence (AI) tools, assessing their current practices and identifying future requirements for governance frameworks to ensure safe and effective use of AI in clinical settings.
  • - Conducted through an online survey from November to December 2022, the research gathered insights from 245 MIRT professionals, utilizing both descriptive and inferential statistical analyses to interpret the data, along with content analysis for open-ended responses.
  • - Key findings revealed that effective governance, training, leadership, and teamwork are crucial for AI adoption, but many professionals lack familiarity with existing frameworks; this indicates a need for better education and standardized policies to optimize AI utilization in MIRT.*
View Article and Find Full Text PDF

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.

View Article and Find Full Text PDF