An experimental machine learning study investigating the decision-making process of students and qualified radiographers when interpreting radiographic images
C Rainey, AT Villikudathil, J McConnell… - PLOS Digital …, 2023 - journals.plos.org
AI is becoming more prevalent in healthcare and is predicted to be further integrated into
workflows to ease the pressure on an already stretched service. The National Health Service …
workflows to ease the pressure on an already stretched service. The National Health Service …
Efficiency, accuracy, and health professional's perspectives regarding artificial intelligence in radiology practice: A scoping review
C He, W Liu, J Xu, Y Huang, Z Dong, Y Wu… - …, 2024 - Wiley Online Library
In this scoping review, we evaluated the performance of artificial intelligence (AI) in clinical
radiology practice and examined health professionals' perspectives regarding AI use in …
radiology practice and examined health professionals' perspectives regarding AI use in …
[HTML][HTML] Artificial intelligence for radiotherapy auto-contouring: Current use, perceptions of and barriers to implementation
Aims Artificial intelligence has the potential to transform the radiotherapy workflow, resulting
in improved quality, safety, accuracy and timeliness of radiotherapy delivery. Several …
in improved quality, safety, accuracy and timeliness of radiotherapy delivery. Several …
[HTML][HTML] AI implementation in the UK landscape: Knowledge of AI governance, perceived challenges and opportunities, and ways forward for radiographers
N Stogiannos, T O'Regan, E Scurr, L Litosseliti… - Radiography, 2024 - Elsevier
Introduction Despite the rapid increase of AI-enabled applications deployed in clinical
practice, many challenges exist around AI implementation, including the clarity of …
practice, many challenges exist around AI implementation, including the clarity of …
[HTML][HTML] Nordic radiographers' and students' perspectives on artificial intelligence–A cross-sectional online survey
Introduction The integration of artificial intelligence (AI) into the domain of radiography holds
substantial potential in various aspects including workflow efficiency, image processing …
substantial potential in various aspects including workflow efficiency, image processing …
Exploring the utility of cardiovascular magnetic resonance radiomic feature extraction for evaluation of cardiac sarcoidosis
Background: The aim of this study is to explore the utility of cardiac magnetic resonance
(CMR) imaging of radiomic features to distinguish active and inactive cardiac sarcoidosis …
(CMR) imaging of radiomic features to distinguish active and inactive cardiac sarcoidosis …
[HTML][HTML] The American Society of Radiologic Technologists (ASRT) AI educator survey: A cross-sectional study to explore knowledge, experience, and use of AI within …
N Stogiannos, M Jennings, C St George… - Journal of Medical …, 2024 - Elsevier
Abstract Introduction Artificial Intelligence (AI) is revolutionizing medical imaging and
radiation therapy. AI-powered applications are being deployed to aid Medical Radiation …
radiation therapy. AI-powered applications are being deployed to aid Medical Radiation …
[HTML][HTML] A Nordic survey on artificial intelligence in the radiography profession–Is the profession ready for a culture change?
Introduction The impact of artificial intelligence (AI) on the radiography profession remains
uncertain. Although AI has been increasingly used in clinical radiography, the perspectives …
uncertain. Although AI has been increasingly used in clinical radiography, the perspectives …
Current Radiology workforce perspective on the integration of artificial intelligence in clinical practice: A systematic review
S Arkoh, TN Akudjedu, C Amedu, WK Antwi… - Journal of Medical …, 2025 - Elsevier
Abstract Introduction Artificial Intelligence (AI) represents the application of computer
systems to tasks traditionally performed by humans. The medical imaging profession has …
systems to tasks traditionally performed by humans. The medical imaging profession has …
An assessment of PET and CMR radiomic features for detection of cardiac sarcoidosis
Background Visual interpretation of PET and CMR may fail to identify cardiac sarcoidosis
(CS) with high specificity. This study aimed to evaluate the role of [18F] FDG PET and late …
(CS) with high specificity. This study aimed to evaluate the role of [18F] FDG PET and late …