Abstract: The study discusses the implementation of Radiographer Abnormality Detection Systems (RADS) and the Red Dot System in medical imaging, particularly focusing on their impact on diagnostic accuracy and patient outcomes. It highlights the challenges faced with technological advancements and training ga more...
Abstract: Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into diagnostic radiology, offering opportunities to enhance image interpretation, workflow efficiency, and patient outcomes. However, their adoption is constrained by several interrelated challenges across technical, more...
Abstract: Due to concerns regarding the complications associated with gadolinium-based contrast agents (GBCAs) in MRI scans, the field of radiology is shifting towards safer options such as superparamagnetic iron oxide nanoparticles (SPIONs) and Magnetic Particle Imaging (MPI). MPI, aninnovative tomograp more...
Abstract: Uterine fibroids are prevalent among women in their reproductive years, emphasizing the importance of early detection and treatment for optimal outcomes. While conventional approaches such as surgery are available, Magnetic Resonance- Guided Focused Ultrasound (MRgFUS) stands out as a ground breakin more...
Abstract: Background: Magnetic Resonance Imaging (MRI) is a non-invasive imaging modality widely used for diagnosing a variety of diseases. Adequate knowledge of MRI principles and safety among healthcare professionals is essential for ensuring patient safety and effective clinical practice.
Objective: Thi more...
