Body weight-based iodinated contrast immersion timing for human fetal postmortem microfocus computed tomography [0.03%]
基于体重的人类胎儿死后微焦点计算机断层扫描碘浸没时间
Ian C Simcock,Susan C Shelmerdine,John Ciaran Hutchinson et al.
Ian C Simcock et al.
Objectives: The aim of this study was to evaluate the length of time required to achieve full iodination using potassium tri-iodide as a contrast agent, prior to human fetal postmortem microfocus computed tomography (micr...
Comparing the performance of a deep learning-based lung gross tumour volume segmentation algorithm before and after transfer learning in a new hospital [0.03%]
比较迁移学习前后基于深度学习的肺粗肿瘤体积分割算法在新医院中的性能
Chaitanya Kulkarni,Umesh Sherkhane,Vinay Jaiswar et al.
Chaitanya Kulkarni et al.
Objectives: Radiation therapy for lung cancer requires a gross tumour volume (GTV) to be carefully outlined by a skilled radiation oncologist (RO) to accurately pinpoint high radiation dose to a malignant mass while simul...
Differences of white matter structure for diffusion kurtosis imaging using voxel-based morphometry and connectivity analysis [0.03%]
使用体素形态计量法和连接分析的扩散峰度成像在白质结构上的差异研究
Yuki Kanazawa,Natsuki Ikemitsu,Yuki Kinjo et al.
Yuki Kanazawa et al.
Objectives: In a clinical study, diffusion kurtosis imaging (DKI) has been used to visualize and distinguish white matter (WM) structures' details. The purpose of our study is to evaluate and compare the diffusion tensor ...
Commercially available artificial intelligence tools for fracture detection: the evidence [0.03%]
市面上用于骨折检测的人工智能工具的证据
Cato Pauling,Baris Kanber,Owen J Arthurs et al.
Cato Pauling et al.
Missed fractures are a costly healthcare issue, not only negatively impacting patient lives, leading to potential long-term disability and time off work, but also responsible for high medicolegal disbursements that could otherwise be used t...
Radiotherapy dose escalation using pre-treatment diffusion-weighted imaging in locally advanced rectal cancer: a planning study [0.03%]
在局部晚期直肠癌中利用治疗前的扩散加权成像提升放射治疗的剂量：一个计划研究
Nathan Hearn,Alexandria Leppien,Patrick O&#x;Connor et al.
Nathan Hearn et al.
Objectives: Diffusion-weighted MRI (DWI) may provide biologically relevant target volumes for dose-escalated radiotherapy in locally advanced rectal cancer (LARC). This planning study assessed the dosimetric feasibility o...
Anatomical variations in the circle of Willis on magnetic resonance angiography in a south Trinidad population [0.03%]
磁共振血管造影在特立尼达南部人口中Willis环的解剖变异研究
Jason Diljohn,Fidel Rampersad,Paramanand Maharaj et al.
Jason Diljohn et al.
Objectives: This article seeks to determine the prevalence of a complete circle of Willis (CoW) and its common morphological variations in a south Trinidad population, while also investigating the influence of gender, age...
State of the art: radiomics and radiomics-related artificial intelligence on the road to clinical translation [0.03%]
最新进展：走向临床应用的影像组学及相关的人工智能技术
Shweta Majumder,Sharyn Katz,Despina Kontos et al.
Shweta Majumder et al.
Radiomics and artificial intelligence carry the promise of increased precision in oncologic imaging assessments due to the ability of harnessing thousands of occult digital imaging features embedded in conventional medical imaging data. Whi...
Radiology and the medical student: do increased hours of teaching translate to more radiologists? [0.03%]
放射学和医学生：更多的教学时间能培养出更多的放射科医生吗？
Aisha Shaheen Hameed,Aneesa K Hameed
Aisha Shaheen Hameed
Responsible AI practice and AI education are central to AI implementation: a rapid review for all medical imaging professionals in Europe [0.03%]
负责任的人工智能实践和人工智能教育是欧洲所有医学影像专业人员实施人工智能的核心：快速回顾研究报告
Gemma Walsh,Nikolaos Stogiannos,Riaan van de Venter et al.
Gemma Walsh et al.
Artificial intelligence (AI) has transitioned from the lab to the bedside, and it is increasingly being used in healthcare. Radiology and Radiography are on the frontline of AI implementation, because of the use of big data for medical imag...
CT image-based biomarkers acquired by AI-based algorithms for the opportunistic prediction of falls [0.03%]
基于人工智能算法的CT影像生物标志物用于机会性跌倒预测
Daniel Liu,Neil C Binkley,Alberto Perez et al.
Daniel Liu et al.
Objective: Evaluate whether biomarkers measured by automated artificial intelligence (AI)-based algorithms are suggestive of future fall risk. Methods: ...