RPS 414 - AI-driven evolution: enhancing image quality, workflow, and professional identity for radiographers

R-AI-diographers: a European survey to explore the perceived impact of AI on professional identity, careers, and roles of radiographers

An investigation into radiographers' perception of quality control auditing of radiographic practice and the potential role of Artificial Intelligence

A comparative study assessing the effectiveness of artificial intelligence and simulation education on reporting radiographer lung cancer detection

Radiographers’ and students’ perspectives on artificial intelligence -A cross-sectional online survey

An analysis of the user interface preferences of imaging professionals for AI to support clinically relevant decision making

Systematic review on advanced image post-processing and workflow optimization in cardiovascular MRI

Blended intensive program for innovative technologies and deep learning models (AI) in the radiographer's working environment

Evaluation of ChatGPT as support in image qualitative assessment for cardiac sonographers

Navigating Artificial Intelligence (AI) Leadership: Radiographers’ Readiness and Challenges in Europe

What Is the Impact of AI on Radiography Reporting Workflows: Effectiveness and Practicality?

MRI deep learning models for assisted diagnosis of knee pathologies and injuries: A systematic review

An Innovative AI-Based Interactive Tool for Learning Chest X-Ray Anatomy