A Comprehensive Review on the Application of Artificial Intelligence for Predicting Postsurgical Recurrence Risk in Early-Stage Non-Small Cell Lung Cancer Using Computed Tomography, Positron Emission Tomography, and Clinical Data [0.03%]
基于计算机断层扫描、正电子发射断层扫描和临床数据的人工智能预测早期非小细胞肺癌术后复发风险的研究进展与应用综合述评
Ghazal Mehri-Kakavand,Sibusiso Mdletshe,Alan Wang
Ghazal Mehri-Kakavand
Introduction: Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related mortality worldwide. Despite advancements in early detection and treatment, postsurgical recurrence remains a significant challenge, ...
Exploring MRI Safety Knowledge Among Physicians and Nurses in Saudi Arabia: Highlighting Knowledge Gaps and Key Influencing Factors [0.03%]
探究沙特阿拉伯医师和护士对磁共振安全知识的了解：强调知识缺口及关键影响因素
Ibrahem Hussain Kanbayti
Ibrahem Hussain Kanbayti
Introduction: Magnetic resonance imaging (MRI) is a widely used diagnostic modality in healthcare settings, but it carries inherent safety risks. Understanding healthcare providers' knowledge of MRI safety is crucial for ...
The ongoing impact of COVID-19 on the clinical education of Australian medical radiation science students [0.03%]
COVID-19对澳大利亚医学辐射科学学生临床教育的持续影响
Adam Steward,Stephen Lacey,Amy Gray et al.
Adam Steward et al.
Introduction: The COVID-19 pandemic has had a significant and ongoing impact on health care, particularly for medical radiation science (MRS) professionals. There exist many studies that describe the negative effects of c...
Impact of Pre-Examination Video Education in Gd-EOB-DTPA-Enhanced Liver MRI: Correspondence [0.03%]
Gd-EOB-DTPA增强肝脏MRI检前视频教育的影响：来信 correspondence
Hinpetch Daungsupawong,Viroj Wiwanitkit
Hinpetch Daungsupawong
This correspondence is in response to the article 'Impact of Pre-Examination Video Education in Gd-EOB-DTPA-Enhanced Liver MRI: A Comparative Study' (doi.org/10.1002/jmrs.833). The study provides valuable initial insights into the impact of...
Evaluating Proton Versus Photon Therapy: A Call for Nuanced Decision-Making [0.03%]
质子疗法与光子疗法的评估——提倡审慎决策
Peter Gorayski,Hien Le,Frank Saran
Peter Gorayski
This letter critically evaluates the conclusions drawn by Li et al. (https://doi.org/10.1002/jmrs.773) in their comparison of proton beam therapy (PBT) and photon irradiation for paediatric and young adult patients. While acknowledging the ...
Assessing chest radiographic quality and the influence of COVID-19 pathology: the Australian experience [0.03%]
新冠肺炎疫情影响下的胸部X线摄影质量评估——澳大利亚经验
Peter O&#x;Reilly,Dania Abu Awwad,Sarah Lewis et al.
Peter O&#x;Reilly et al.
Introduction: Quality assurance (QA) in medical imaging ensures consistently high-quality images at acceptable radiation doses. However, the applicability of the chest X-ray (CXR) QA tool in images with pathology, particu...
Bridging theory and practice: Experiences of diagnostic radiography students during clinical training in resource-constrained settings [0.03%]
理论与实践的桥梁：资源匮乏环境下诊断放射学学生临床实习期间的经历
Sylvia Shafuda,Edwin Daniels,Abel Karera
Sylvia Shafuda
Introduction: Clinical training is crucial for diagnostic radiography students, bridging theoretical knowledge with practical skills. In resource-constrained settings, this training may face unique challenges that might s...
Emotional intelligence evaluation tools used in allied health students: A scoping review [0.03%]
allied健康专业学生使用的心理情报评估工具：一项范围审查
Debra Lee,Tracy Burrows,Daphne James et al.
Debra Lee et al.
Introduction: Emotional intelligence (EI) is described as the ability to recognise and understand one's own emotions and the emotions of others, and empathically manage emotional responses. While historically not emphasis...
An evaluation of a checklist in musculoskeletal radiographic image interpretation when using artificial intelligence [0.03%]
人工智能在骨肌肉系统影像解读中的核查表评估研究
Laura McLaughlin,Sonyia L McFadden,Angelina T Villikudathil et al.
Laura McLaughlin et al.
Introduction: Artificial intelligence (AI) is being used increasingly in image interpretation tasks. Human reliance on technology and bias can cause decision errors. A checklist, used with the AI to mitigate against such ...
Artificial intelligence in radiation therapy treatment planning: A discrete choice experiment [0.03%]
放射治疗计划中的人工智能：一项离散选择实验
Milena Lewandowska,Deborah Street,Jackie Yim et al.
Milena Lewandowska et al.
Introduction: The application of artificial intelligence (AI) in radiation therapy holds promise for addressing challenges, such as healthcare staff shortages, increased efficiency and treatment planning variations. Incre...