X-ray imaging of multiple adjacent regions in paediatric patients: Potential utility for diagnosis and patient management.

Background: In emergency presentations, it is not uncommon for patients to present with imaging requests of multiple body regions to detect concurrent injury. While current literature explores diagnostic efficacy of adjacent imaging for forearm fractures, there is limited research on its effectiveness across all extremities. This paper explores the diagnostic yield of X-ray adjacent imaging of the upper and lower limb in paediatric patients.

Mentoring within the medical radiation sciences - Establishing a national program.

Introduction: The aim of this study was to compare the accuracy and performance of 12 pre-trained deep learning models for classifying covid-19 and normal chest X-ray images from Kaggle.

Materials: a desktop computer with an Intel CPU i9-10900 2.80GHz and NVIDIA GPU GeForce RTX2070 SUPER, Anaconda3 software with 12 pre-trained models including VGG16, VGG19, DenseNet121, DenseNet169, DenseNet201, RestNet50V2, RestNet101V2, RestNet152V2, InceptionRestnetV2, InceptionV3, XceptionV1 and MobileNetV2, covid-19 and normal chest X-ray from Kaggle website.

Magnetic Resonance Imaging for the diagnosis and management of acute colonic diverticulitis: a review of current and future use.

Diverticular disease is one of the most common causes of outpatient visits and hospitalisations across Australia, North America and Europe. According to the Gastroenterological Society of Australia (GESA, 2010), approximately 33% of Australians over 45 years of age and 66% over 85 years of age have some form of colonic diverticulosis. Patients with colonic diverticulosis are known to develop subsequent complications such as acute colonic diverticulitis (ACD), and when more than one attack of diverticulitis occurs, there is a 70-90% chance that the individual will experience ongoing problems and recurring infections throughout their lifetime.