Artificial intelligence (AI) for paediatric fracture detection: a multireader multicase (MRMC) study protocol.

Introduction: Paediatric fractures are common but can be easily missed on radiography leading to potentially serious implications including long-term pain, disability and missed opportunities for safeguarding in cases of inflicted injury. Artificial intelligence (AI) tools to assist fracture detection in adult patients exist, although their efficacy in children is less well known. This study aims to evaluate whether a commercially available AI tool (certified for paediatric use) improves healthcare professionals (HCPs) detection of fractures, and how this may impact patient care in a retrospective simulated study design.

Neck as mediastinal extension: Diagnosis of sarcoidosis by core biopsy of cervical lymph nodes.

Background: Sarcoidosis is a multi-system granulomatous disease. The diagnostic procedures for histological confirmation are invasive and a less invasive approach to diagnostic pathway is warranted. The utility of diagnostic value of neck ultrasound was retrospectively evaluated.