Deep learning-based algorithm for automatic detection of incidental pulmonary embolism on contrast-enhanced CT: a multicenter multivendor study [0.03%]
基于深度学习的算法在造影CT上自动检测意外发生的肺栓塞：一项多中心和多厂商的研究
Hana Farzaneh,Jacqueline Junn,Yasmina Chaibi et al.
Hana Farzaneh et al.
Background: Incidenal pulmonary embolism (iPE) is increasingly detected on contrast-enhanced computed tomography (CECT) performed for non-PE indications, reflecting the growing volume and complexity of cross-sectional ima...
Deep learning pipeline for fully automated myocardial infarct segmentation from clinical cardiac MR scans [0.03%]
一种从临床心脏磁共振图像中全自动分割心肌梗死区域的深度学习流程
Matthias Schwab,Mathias Pamminger,Christian Kremser et al.
Matthias Schwab et al.
Background: Artificial intelligence (AI) has demonstrated promise in cardiovascular magnetic resonance (CMR) imaging, particularly in myocardial infarct segmentation, where it may help reduce variability and workload in c...
Contrast-enhanced CT as a non-invasive alternative for lung shunt fraction estimation in hepatic transarterial radioembolization [0.03%]
增强CT在肝动脉放射栓塞治疗中作为肺分流率估算的无创替代手段
Brahim Mehadji,Talia Marx,Adrianna Carter et al.
Brahim Mehadji et al.
Background: Estimation of the lung shunt fraction (LSF) is an integral part of liver radioembolization treatment planning to prevent excessive lung irradiation from arterio-venous shunting in the liver. 99mTc macro-aggreg...
Decoding large language models for radiology: strategies for fine-tuning and prompt engineering [0.03%]
放射学中大型语言模型的解码：微调和提示工程策略
Sanaz Vahdati,Elham Mahmoudi,Ali Ganjizadeh et al.
Sanaz Vahdati et al.
The advances in large language models (LLMs) have demonstrated sophisticated potential for automating complex tasks within the radiology workflow. From radiology report generation and report summarization to data collection for research tri...
Pulmonary embolism detection without intravenous contrast using electron density and Z-effective maps from dual-energy CT [0.03%]
无静脉对比剂下利用双能量CT电子密度和Z有效值图检测肺栓塞
Tommaso D&#x;Angelo,Simone Barbera,Velio Ascenti et al.
Tommaso D&#x;Angelo et al.
Purpose: This study aims to evaluate the feasibility of using electron density (ED) maps combined with Z-effective (Zeff) images obtained from unenhanced dual-layer dual-energy CT (dl-DECT) scans of the chest for the dete...
18F-FDG-PET-based deep learning for predicting cognitive decline in non-demented elderly across the Alzheimer's disease clinical spectrum [0.03%]
基于18F-FDG-PET的深度学习预测非痴呆老人在阿尔茨海默病临床谱系中的认知衰退
Beomseok Sohn,Seok Jong Chung,Jeong Ryong Lee et al.
Beomseok Sohn et al.
Background: With disease-modifying treatments for Alzheimer's disease (AD), prognostic tools for the pre-dementia stage are needed. This study aimed to evaluate the prognostic value of an 18F-fluorodeoxyglucose-positron e...
An image-domain deep-learning denoising technique for accelerated parallel brain MRI: prospective clinical evaluation [0.03%]
一种加速的并行脑部磁共振成像的图像域深度学习去噪技术：前瞻性临床评估
Laura Onac,Lorand Dobai,Andrei Mouraviev et al.
Laura Onac et al.
Background: Parallel imaging can accelerate MRI acquisitions, but excessive accelerations can introduce amplified noise and aliasing artifacts. Purpose: ...
Deep learning assessment of disproportionately enlarged subarachnoid-space hydrocephalus in Hakim's disease or idiopathic normal pressure hydrocephalus [0.03%]
霍金病或自发性正常压力脑积水患者Hakim病或idiopathic正常压力脑积水的深度学习评估
Shigeki Yamada,Hirotaka Ito,Chifumi Iseki et al.
Shigeki Yamada et al.
Background: Disproportionately enlarged subarachnoid-space hydrocephalus (DESH) is a key feature of Hakim's disease (synonymous with idiopathic normal pressure hydrocephalus; iNPH). However, it previously had been only su...
Cross-institutional automated multilabel segmentation for acute intracerebral hemorrhage, intraventricular hemorrhage, and perihematomal edema on CT [0.03%]
机构间自动多标签急性脑内出血、脑室出血和灶周水肿CT分割技术
Jawed Nawabi,Georg Lukas Baumgaertner,Sophia Schulze-Weddige et al.
Jawed Nawabi et al.
Background: Precise volume quantification of intracerebral hemorrhage (ICH), intraventricular hemorrhage (IVH), and perihematomal edema (PHE) is a critical parameter for guiding therapy decisions, monitoring therapeutic e...
Comparison of robotic versus manual needle insertion for CT-guided intervention: prospective randomized trial [0.03%]
CT引导介入手术下机器人穿刺与手动穿刺的比较：前瞻性随机试验
Takao Hiraki,Yusuke Matsui,Jun Sakurai et al.
Takao Hiraki et al.
Background: Robotic needle insertion under CT guidance has been developed, but data on comparison with manual insertion are still lacking. Purpose: ...