Correction to: Commercially available artificial intelligence tools for fracture detection: the evidence [0.03%]
校正：市售的人工智能骨折检测工具：证据
[This corrects the article DOI: 10.1093/bjro/tzad005.]. © The Author(s) 2024. Published by Oxford University Press on behalf of the British Institute of...
Published Erratum
BJR open. 2024 Feb 22;6(1):tzae004. DOI:10.1093/bjro/tzae004 2024
A multi-centre stereotactic radiosurgery planning study of multiple brain metastases using isocentric linear accelerators with 5 and 2.5 mm width multi-leaf collimators, CyberKnife and Gamma Knife [0.03%]
使用等中心直线加速器，CyberKnife和伽玛刀对多个脑转移病灶的多中心立体定向放射治疗计划研究，包括5毫米和2.5毫米宽度多叶准直器
Scott Hanvey,Philippa Hackett,Lucy Winch et al.
Scott Hanvey et al.
Objectives: This study compared plans of high definition (HD), 2.5 mm width multi-leaf collimator (MLC), to standard, 5 mm width, isocentric linear accelerator (linacs), CyberKnife (CK), and Gamma Knife (GK) for stereotac...
Andrew D Weedall,Alexander Dallaway,John Hattersley et al.
Andrew D Weedall et al.
Objective: To investigate differences in diffusion tensor imaging (DTI) parameters and proton density fat fraction (PDFF) in the spinal muscles of younger and older adult males. ...
A real-world evaluation of the diagnostic accuracy of radiologists using positive predictive values verified from deep learning and natural language processing chest algorithms deployed retrospectively [0.03%]
使用深度学习和自然语言处理胸部算法验证的阳性预测值对放射科医生诊断准确性进行真实世界评估
Bahadar S Bhatia,John F Morlese,Sarah Yusuf et al.
Bahadar S Bhatia et al.
Objectives: This diagnostic study assessed the accuracy of radiologists retrospectively, using the deep learning and natural language processing chest algorithms implemented in Clinical Review version 3.2 for: pneumothora...
Factors influencing the reliability of a CT angiography-based deep learning method for infarct volume estimation [0.03%]
影响基于CT血管造影的深度学习方法估计梗死体积可靠性的因素
Lasse Hokkinen,Teemu Mäkelä,Sauli Savolainen et al.
Lasse Hokkinen et al.
Objectives: CT angiography (CTA)-based machine learning methods for infarct volume estimation have shown a tendency to overestimate infarct core and final infarct volumes (FIV). Our aim was to assess factors influencing t...
Priyank Chatra
Priyank Chatra
The CT arthrogram is an underrated diagnostic study of the joint. Although MRI is considered superior to CT in joint imaging due to its higher resolution, CT arthrograms provide unique insights into the knee joint, with simultaneous dynamic...
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...