Publications by authors named "S Shelmerdine"
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.
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- Post-mortem CT (PMCT) is becoming a popular, non-invasive option for adult death investigations, addressing pathologist shortages while respecting cultural needs.
- The article discusses various PMCT service structures tailored to different coronial jurisdictions, which face challenges like limited imaging access and logistical issues.
- It further explores operational models for PMCT services, including who leads them, types of CT units used, and reporting structures, offering real-world examples for effective implementation.
Article Synopsis
- The study explores how radiology staff perceives an AI tool designed to expedite lung cancer detection in chest X-rays, surveying staff before and after its implementation.
- Initial expectations of the AI being time-saving shifted post-implementation to focus on faster patient follow-ups and a recognition of benefits despite integration challenges.
- Ongoing staff feedback and support are crucial for a smooth AI integration in clinical settings, fostering a positive adaptation towards its usage in patient care.