Vincent's brain [0.03%]
文森特的大脑
Graziana Agostinelli
Graziana Agostinelli
Mitigation of T1 impact for unbiased tumor magnetic resonance amide proton transfer imaging at 3T [0.03%]
用于无偏移肿瘤磁共振胺质子转移成像的T1影响缓解法（3特斯拉设备）
Zhou Liu,Qian Yang,Haizhou Liu et al.
Zhou Liu et al.
Background: Amide proton transfer (APT), a specific type of chemical exchange saturation transfer (CEST) MRI, has proved valuable in tumor diagnosis and characterization by detecting mobile protein/peptides in cancerous t...
Climate resilient and environmentally sustainable radiology: a framework for implementation [0.03%]
气候适应性和环境可持续性的放射学：实施框架
Chloe DesRoche,Felipe Castillo,Sonali Sharma et al.
Chloe DesRoche et al.
Climate change adversely impacts human health and transformations in our approach to work are needed to build environmentally sustainable and climate resilient radiology systems. Radiology practices must reduce greenhouse gas emissions gene...
Liver fat quantification using deep silicon photon-counting CT: an in silico imaging study [0.03%]
基于深度硅光电计数CT的肝脏脂肪定量分析：一种计算机断层摄影研究
Raj Kumar Panta,Zhye Yin,Fredrik Grönberg et al.
Raj Kumar Panta et al.
Background: Accurate liver fat quantification is essential for early diagnosis and effective management of fatty liver disease. Purpose: ...
Predicting adverse perinatal outcomes in small-for-gestational-age fetuses using MRI, ultrasound, and clinical data [0.03%]
基于MRI、超声和临床数据预测宫内生长受限胎儿的不良围生期结局
Aviad Rabinowich,Aaron Olender,Netanell Avisdris et al.
Aviad Rabinowich et al.
Background: Fetal growth restriction (FGR) is associated with adverse perinatal outcomes. Existing sonographic approaches offer limited predictive accuracy. Combining fetal MRI, ultrasound and clinical data may improve pe...
Deep learning MRI halves scan time and preserves image quality across routine neuroradiologic examinations [0.03%]
深度学习MRI将扫描时间减半并在常规神经放射学检查中保持图像质量
Shawn K Lyo,Suyash Mohan,Michael J Hoch et al.
Shawn K Lyo et al.
Background: Magnetic resonance imaging (MRI) is a cornerstone of neuroimaging but is limited by lengthy acquisition times, which can lead to motion artifacts, patient discomfort, and delayed care. Deep learning reconstruc...
The growing armamentarium of image-guided tumor ablation in interventional oncology [0.03%]
影像引导下肿瘤消融在介入放射学中的新进展和发展方向
Jung H Yun,Arian Mansur,Elahe Abbaspour et al.
Jung H Yun et al.
Minimally invasive image-guided tumor ablation techniques have been established as safe, effective methods to treat a variety of unresectable soft tissue tumors. Standard thermal ablation methods include radiofrequency ablation, microwave a...
Frozen shoulder [0.03%]
冻结肩
Woojin Kim
Woojin Kim
Visual-language artificial intelligence system for knee radiograph diagnosis and interpretation: a collaborative system with humans [0.03%]
用于膝关节放射片诊断和解读的视觉语言人工智能系统：一种与人类合作的系统
Xingxin He,Zachary E Stewart,Nikitha Crasta et al.
Xingxin He et al.
Background: Large language models (LLMs) have shown promising abilities in text-based clinical tasks but they do not inherently interpret medical images such as knee radiographs. ...
Susanna I Lee,Jorge A Soto
Susanna I Lee