Publications by authors named "W Elshami"
Article Synopsis
- The text reviews the integration of Artificial Intelligence (AI) in medical imaging, focusing on how radiologists and radiographers perceive its role in clinical practice.
- Using a systematic review method, the study analyzed data from various articles assessing professionals' viewpoints on AI's incorporation and effects in medical imaging.
- The results highlighted key themes including AI education, impact on image quality, ethical concerns, patient perceptions, and factors influencing AI's development and job security in the field.
Article Synopsis
- Fluoroscopic examinations, such as ERCP and PTC, are essential for diagnosing hepatobiliary diseases but expose patients to significant radiation, prompting a need to better assess radiation doses to critical organs.
- The study used an Alderson RANDO phantom and Thermoluminescent Dosemeters to measure actual radiation exposure during these procedures, finding that PTC generally yields higher doses, particularly to the thyroid and spleen.
- Results highlight the necessity of evaluating the risks versus benefits of these procedures due to the notable radiation exposure, suggesting a preference for ERCP when minimizing radiation is necessary, and advocating for continued improvements in medical imaging to enhance patient safety.
Introduction: Global education, particularly Continuing Medical Education (CME) for healthcare professionals, is quickly shifting online. This study assesses the opportunities and challenges of adopting online learning in radiology CME. It explores how radiologists and radiographers have adapted to this digital shift and the changing landscape of radiology education.
View Article and Find Full Text PDFObjective: This study evaluates the level of radiation safety awareness and adherence to protective practices among pregnant female radiographers in the United Arab Emirates, aiming to identify gaps and develop targeted interventions for enhancing occupational safety.
Methods: Employing a cross-sectional design, the study surveyed 133 female radiographers using a self-developed questionnaire covering demographics, awareness and knowledge, workplace practices, communication, and satisfaction.
Results: The survey showed high awareness among radiographers, with 97% acknowledging radiation risks during pregnancy, although 42.
: This study investigates the correlation between patient body metrics and radiation dose in abdominopelvic CT scans, aiming to identify significant predictors of radiation exposure. Employing a cross-sectional analysis of patient data, including BMI, abdominal fat, waist, abdomen, and hip circumference, we analyzed their relationship with the following dose metrics: the CTDI, DLP, and SSDE. Results from the analysis of various body measurements revealed that BMI, abdominal fat, and waist circumference are strongly correlated with increased radiation doses.
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