Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification-Part 2: Pathology Whole Slide Image De-identification, De-facing, the Role of AI in Image De-identification, and the NCI MIDI Datasets and Pipeline [0.03%]
国家癌症研究所2023年虚拟医学图像去标识化研讨会综述（第二部分）：病理全片图像的去标识化、去面部处理、人工智能在图像去标识化中的作用以及NCI MIDI数据集和流水线
David Clunie,Adam Taylor,Tom Bisson et al.
David Clunie et al.
De-identification of medical images intended for research is a core requirement for data sharing initiatives, particularly as the demand for data for artificial intelligence (AI) applications grows. The Center for Biomedical Informatics and...
Minimal Detectable Bone Fracture Gaps in CT Images and Digital Three-Dimensional (3D) Radii Models [0.03%]
CT图像和数字三维模型中最小可检测骨裂缝大小
Martin Bittner-Frank,Andreas Strassl,Ewald Unger et al.
Martin Bittner-Frank et al.
Knowledge of the minimal detectable bone fracture gap is essential in three-dimensional (3D) models, particularly in pre-operative planning of osteosynthesis to avoid overlooking gaps. In this study, defined incisions and bony displacements...
Evolutionary Strategies Enable Systematic and Reliable Uncertainty Quantification: A Proof-of-Concept Pilot Study on Resting-State Functional MRI Language Lateralization [0.03%]
进化策略能够进行系统且可靠的不确定性量化：关于静息态功能磁共振成像语言半球优势的验证性概念试点研究
Joseph N Stember,Katharine Dishner,Mehrnaz Jenabi et al.
Joseph N Stember et al.
Reliable and trustworthy artificial intelligence (AI), particularly in high-stake medical diagnoses, necessitates effective uncertainty quantification (UQ). Existing UQ methods using model ensembles often introduce invalid variability or co...
Deep Learning-Based Localization and Detection of Malpositioned Nasogastric Tubes on Portable Supine Chest X-Rays in Intensive Care and Emergency Medicine: A Multi-center Retrospective Study [0.03%]
基于深度学习的便携式仰卧胸部X射线中重症监护和急诊医学鼻胃管定位和检测：多中心回顾性研究
Chih-Hung Wang,Tianyu Hwang,Yu-Sen Huang et al.
Chih-Hung Wang et al.
Malposition of a nasogastric tube (NGT) can lead to severe complications. We aimed to develop a computer-aided detection (CAD) system to localize NGTs and detect NGT malposition on portable chest X-rays (CXRs). A total of 7378 portable CXRs...
Myungeun Lee,Jong Hyo Kim,Wookjin Choi et al.
Myungeun Lee et al.
TumorPrism3D software was developed to segment brain tumors with a straightforward and user-friendly graphical interface applied to two- and three-dimensional brain magnetic resonance (MR) images. The MR images of 185 patients (103 males, 8...
TransMVAN: Multi-view Aggregation Network with Transformer for Pneumonia Diagnosis [0.03%]
基于Transformer的多视图聚合网络肺炎诊断方法
Xiaohong Wang,Zhongkang Lu,Su Huang et al.
Xiaohong Wang et al.
Automated and accurate classification of pneumonia plays a crucial role in improving the performance of computer-aided diagnosis systems for chest X-ray images. Nevertheless, it is a challenging task due to the difficulty of learning the co...
Analysis of Diagnostic Efficacy of the International Ovarian Tumor Analysis ADNEX Model and the ACR O-RADS US (Ovarian-Adnexal Reporting and Data System) for Benign and Malignant Ovarian Tumors: A Retrospective Study in a Tumor Center in Northeast China [0.03%]
国际卵巢肿瘤诊断分析ADNEX模型与ACR O-RADS US(OV型超声报告和数据系统)鉴别中国东北部地区良恶性卵巢肿瘤的效能分析：一项回顾性研究
Di Zhong,Xiao-Qiang Gao,Hai-Xia Li et al.
Di Zhong et al.
This study is to analyze and compare the diagnostic efficacy of the ADNEX model and O-RADS in Northeast China for benign and malignant ovarian-adnexal tumors. From July 2020 to February 2022, ultrasound images of 312 ovarian-adnexal masses ...
Fine-Tuned Large Language Model for Extracting Patients on Pretreatment for Lung Cancer from a Picture Archiving and Communication System Based on Radiological Reports [0.03%]
基于放射学报告的肺部癌症前期患者图片存档与通信系统的大型语言模型微调提取研究
Koichiro Yasaka,Jun Kanzawa,Noriko Kanemaru et al.
Koichiro Yasaka et al.
This study aimed to investigate the performance of a fine-tuned large language model (LLM) in extracting patients on pretreatment for lung cancer from picture archiving and communication systems (PACS) and comparing it with that of radiolog...
Adrenal Volume Quantitative Visualization Tool by Multiple Parameters and an nnU-Net Deep Learning Automatic Segmentation Model [0.03%]
基于多个参数的肾上腺体积定量可视化工具和一种nnU-Net深度学习自动分割模型
Yi Li,Yingnan Zhao,Ping Yang et al.
Yi Li et al.
Abnormalities in adrenal gland size may be associated with various diseases. Monitoring the volume of adrenal gland can provide a quantitative imaging indicator for such conditions as adrenal hyperplasia, adrenal adenoma, and adrenal cortic...
A Novel Radiology Communication Tool to Reduce Workflow Interruptions: Clinical Evaluation of RadConnect [0.03%]
一种新的放射学沟通工具：减少工作流程中断的临床评估RadConnect
Merlijn Sevenster,Kenneth F M Hergaarden,Omar Hertgers et al.
Merlijn Sevenster et al.
Despite the importance of communication, radiology departments often depend on communication tools that were not created for the unique needs of imaging workflows, leading to frequent radiologist interruptions. The objective of this study w...