Julie Bauml,Avez Rizvi,Mohammed I Quraishi et al.
Julie Bauml et al.
Immersive technologies, particularly virtual reality (VR), have significantly advanced since their inception in the mid-twentieth century. In recent years, the development of affordable, high-quality VR systems has catalyzed their applicati...
A High-Accuracy Rule-Based Algorithm for Automated Extraction of Coronary Artery Calcium Scores from Mixed-Language Radiology Reports [0.03%]
一种从多语言放射科报告中自动提取冠状动脉钙化评分的高精度规则算法
Wei-Chieh Hung,Chi-Chang Chen,Han-Chen Lee et al.
Wei-Chieh Hung et al.
Coronary artery calcium (CAC) score is a vital biomarker for cardiovascular risk stratification, yet this value is often locked within unstructured radiology reports. Manual extraction is impractical for large-scale research, while automate...
Correction: Comparing the Effectiveness of Artificial Intelligence Technology with 6th Year Dental Students for the Diagnosis of Inflammatory Bone Lesions of the Mandible in Panoramic Radiography [0.03%]
题目校正：比较人工智能技术与口腔医学专业第六学年学生在曲面体层影像片上诊断下颌骨炎症性病变有效性的研究
Sita Songsiriritthigul,Jiratchaya Sriphet,Jirutchaya Suphan et al.
Sita Songsiriritthigul et al.
Published Erratum
Journal of imaging informatics in medicine. 2026 Jun 10. DOI:10.1007/s10278-026-02056-1 2026
Deep Learning-Based Metal Artifact Reduction in Cardiac Computed Tomography: A Preliminary Study Enabling Radiomic Analysis in Patients with Implantable Defibrillators [0.03%]
基于深度学习的心脏CT金属伪影减少法：一项初步研究，可使植入式除颤器患者的影像组学分析成为可能
Nicholas Benigni,Francesca Lo Iacono,Lisa M Verheul et al.
Nicholas Benigni et al.
Idiopathic ventricular fibrillation (IVF) affects 5-10% of out-of-hospital cardiac arrest survivors, requiring implantable cardioverter-defibrillators (ICDs) for management. However, metal artifacts from ICDs may compromise cardiac computed...
Evaluation of the Effects of Diabetes Mellitus and Periodontitis on Alveolar Bone Radiodensity Using Hounsfield Unit Measurement and Fractal Analysis [0.03%]
糖尿病和牙周炎对牙槽骨放射密度影响的评价——基于霍恩斯菲尔德单位测量和分形分析的方法学研究
Sukran Acipinar,Kubra Ceran Deveci,Yunus Balel
Sukran Acipinar
This retrospective study aimed to evaluate the effects of diabetes mellitus and periodontitis on alveolar bone density and trabecular bone quality using cone-beam computed tomography (CBCT) and to compare fractal analysis with Hounsfield un...
Sheena Y Chu,Ali Pirasteh,Scott B Reeder et al.
Sheena Y Chu et al.
Quantifying the utilization of clinical MRI exams is challenging. Using analytics tools to characterize MR exam utilization, improvement opportunities can be identified, and such tools are essential to improve the value of MRI. The purpose ...
tMIP-CTA Application in Infra-knee Artery Angiography for Diabetic Lower Extremity Disease [0.03%]
tmip-cta在糖尿病下肢缺血病变胫前动脉成像中的应用研究
Zilin Lu,Xianfei Liu,Feng Sun et al.
Zilin Lu et al.
To investigate the feasibility of time-resolved maximum intensity projection computed tomography angiography (tMIP-CTA) in assessing below-the-knee arterial lesions in diabetic patients. A prospective study enrolled 79 patients (53 males, 2...
Concordance-Based Validation of Electronic Health Records and Modality Log Files to Improve MRI Exam Duration Prediction and Scheduling Performance [0.03%]
基于一致性验证的电子健康记录和模式日志文件改善MRI检查持续时间预测和调度性能
Lun Li,Christina Mastrangelo,Mahmud Mossa-Basha et al.
Lun Li et al.
Integrating multi-source healthcare data for predictive modeling requires rigorous data quality validation, yet concordance between data systems is rarely assessed prior to model development.This study evaluated inter-system concordance bet...
Correction: ThyroFusion: A Multi-modal Deep Learning Framework Integrating Vision and Language for Thyroid Nodule Malignancy Risk Assessment [0.03%]
纠正：ThyroFusion：一种多模态深度学习框架整合视觉和语言进行甲状腺结节恶性风险评估
Tianhao Xiang,Zhenyuan Hu
Tianhao Xiang
Published Erratum
Journal of imaging informatics in medicine. 2026 Jun 8. DOI:10.1007/s10278-026-02054-3 2026
AI-Based Post-processing for Artefact Mitigation in Radiography: A Systematic Review [0.03%]
基于人工智能的放射学伪影减少后处理系统回顾性分析
Stanley A Norris,Harry Marland,Darcy Stephenson et al.
Stanley A Norris et al.
Projectional radiography is vulnerable to artefacts that can impair image quality and obscure or mimic pathology, confounding image interpretation. This systematic review synthesises published research on AI-based post-processing methods fo...