Establishing the size and configuration of the imaging support workforce: a census of national workforce data in England [0.03%]
建立影像支持型工作人员的规模和配置：英格兰全国劳动力数据普查
Julie Nightingale,Sarah Etty,Beverley Snaith et al.
Julie Nightingale et al.
Objectives: The imaging support workforce is a key enabler in unlocking imaging capacity and capability, yet no evidence exists of the workforce size and configuration. This research provides the first comprehensive analy...
Emergency department referrals for CT imaging of extremity soft tissue infection: before and during the COVID-19 pandemic [0.03%]
新冠疫情前后的急诊CT扫描四肢软组织感染会诊情况分析
Andrew Nanapragasam,Lawrence M White
Andrew Nanapragasam
Objectives: To evaluate the incidence and spectrum of findings in patients referred for CT imaging of extremity soft tissue infection in the adult emergency department (ED) setting before and during the COVID-19 pandemic....
Augmented reality and radiology: visual enhancement or monopolized mirage [0.03%]
增强现实与放射学：视觉提升还是垄断幻影？
Matthew Christie
Matthew Christie
Augmented reality (AR) exists on a spectrum, a mixed reality hybrid of virtual projections onto real surroundings. Superimposing conventional medical imaging onto the living patient offers vast potential for radiology, potentially revolutio...
Complex abdominal aortic aneurysms: a review of radiological and clinical assessment, endovascular interventions, and current evidence of management outcomes [0.03%]
复杂腹主动脉瘤的影像和临床评估、血管内治疗及当前管理效果证据综述
Girija Agarwal,Mohamad Hamady
Girija Agarwal
Endovascular aortic aneurysm repair (EVAR) is an established approach to treating abdominal aortic aneurysms, however, challenges arise when the aneurysm involves visceral branches with insufficient normal segment of the aorta to provide an...
Three-dimensional dose prediction based on deep convolutional neural networks for brain cancer in CyberKnife: accurate beam modelling of homogeneous tissue [0.03%]
基于深度卷积神经网络的Cyber刀治疗脑肿瘤三维剂量预测：均匀组织下的精确射束建模
Yuchao Miao,Ruigang Ge,Chuanbin Xie et al.
Yuchao Miao et al.
Objectives: Accurate beam modelling is essential for dose calculation in stereotactic radiation therapy (SRT), such as CyberKnife treatment. However, the present deep learning methods only involve patient anatomical image...
Advancing radiology practice and research: harnessing the potential of large language models amidst imperfections [0.03%]
借助大型语言模型推动放射学实践和研究：在不完美中发现潜力
Eyal Klang,Lee Alper,Vera Sorin et al.
Eyal Klang et al.
Large language models (LLMs) are transforming the field of natural language processing (NLP). These models offer opportunities for radiologists to make a meaningful impact in their field. NLP is a part of artificial intelligence (AI) that u...
Almir Galvão Vieira Bitencourt,Arka Bhowmik,Eduardo Flavio De Lacerda Marcal Filho et al.
Almir Galvão Vieira Bitencourt et al.
Metabolic imaging in clinical practice has long relied on PET with fluorodeoxyglucose (FDG), a radioactive tracer. However, this conventional method presents inherent limitations such as exposure to ionizing radiation and potential diagnost...
Improvement in paediatric CT use and justification: a single-centre experience [0.03%]
改善儿童CT检查的应用和正当性：单一中心的经验
Mariliis Tiidermann,Triin Pihlakas,Juhan Saaring et al.
Mariliis Tiidermann et al.
Objectives: To analyse changes in the use of paediatric (≤16 years) CT over the past decade and to evaluate the appropriateness of CT examinations at a tertiary teaching hospital. ...
Chiara Gianoli,Elisabetta De Bernardi,Katia Parodi
Chiara Gianoli
This review presents and discusses the ways in which artificial intelligence (AI) tools currently intervene, or could potentially intervene in the future, to enhance the diverse tasks involved in the radiotherapy workflow. The radiotherapy ...
Generative Artificial Intelligence: Enhancing Patient Education in Cardiovascular Imaging [0.03%]
生成式人工智能：增强心血管影像学中的患者教育
Ahmed Marey,Abdelrahman M Saad,Benjamin D Killeen et al.
Ahmed Marey et al.
Cardiovascular disease (CVD) is a major cause of mortality worldwide, especially in resource-limited countries with limited access to healthcare resources. Early detection and accurate imaging are vital for managing CVD, emphasizing the sig...