A retrospective clinical study which explores the relationship between lumbar facet joint degeneration and therapeutic success of transforaminal epidural steroid injections.




Keywords: Transforaminal epidural steroid injection, Pain, Facet joint degeneration

This article reviews current diagnostic approaches for asbestosis, emphasizing early detection, clinical features, and the importance of prevention due to its irreversible lung damage.





Keywords: Asbestosis, Occupational Lung Disease, Asbestos Body, Diagnosis

An explorative study on perceptions of radiographers regarding AI implementation, job security, everchanging roles and duties within the profession, and the importance of involving professionals in the implementation of AI. Keywords: Artificial intelligence, radiographers, professional role, profes…

This article explores embedding ethics and social-science expertise into radiological AI, highlighting trust, accountability, fairness, and interdisciplinary stakeholder engagement for trustworthy cancer imaging. Keywords: AI ethics, radiology, oncology, trustworthy AI, explainability, accountabili…

A comprehensive review of features, pathology and imaging options of gallstone disease.




Keywords: Gallstone, cholelithiasis, choledocholithiasis, ultrasonography, computed tomography, magnetic resonance imaging, cholecystitis

Examines regionspecific diagnostic accuracy of spinal radiography, emphasising strengths, limitations, and clinical implications for trauma imaging and patient management.




Keywords: Spinal trauma, radiography, diagnostic accuracy, region‑specific performance, trauma management.

Research presents an integrated de-identification tool that safeguards patient privacy by removing metadata, facial features, text, and other identifiers from diverse medical imaging formats to ensure ethical, compliant data use. Keywords: De‑identification, medical imaging, Patient privacy, DICO…

A study proposing and evaluating an ensemble deep-learning framework using multiple CNN feature extractors and fusion strategies to improve tuberculosis detection and subtype classification from chest radiographs. Keywords: Ensemble deep learning, Tuberculosis, Chest X-ray radiography, Fusion model…

A review of the role of MRI when it comes to gastrointestinal bleeding, as well as the indications, technique and performance of the healthcare problem.




Keywords: GI bleed, MR Enterography, MRI, CT Enterography, Small bowel mass, Small bowel vascular malformations

A narrative of the economic, ethical, and legal implications of evidence-based practice and continuing professional development in radiography, highlighting barriers, professional responsibilities, and their impact on patient care. Keywords: Medical imaging, Radiography, Evidence-based practice (EB…