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期刊名:Radiology

缩写:RADIOLOGY

ISSN:0033-8419

e-ISSN:1527-1315

IF/分区:17.6/Q1

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共收录本刊相关文章索引9903
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Yaqiong Zhou,Hua Lin,Chuan Huang et al. Yaqiong Zhou et al.
Background Cardiac gallium 68-labeled fibroblast activation protein inhibitor (FAPI)-4 (68Ga-FAPI-4) PET/MRI allows simultaneous assessment of cardiac tissue characteristics, function, and molecular remodeling in myocardial diseases. An int...
Albert Jiao,Mohannad Hussain,Teri Sippel Schmidt et al. Albert Jiao et al.
The Radiology Reimagined demonstration, formerly known as Imaging AI in Practice, is presented at the Radiological Society of North America (RSNA) Annual Meeting. It highlights how interoperability and semantic standards can facilitate the ...
Florian Nima Fleckenstein,Dina David,Paolo Garducci et al. Florian Nima Fleckenstein et al.
Background Genicular artery embolization (GAE) is an emerging minimally invasive therapy for osteoarthritis (OA)-related knee pain. Traditional embolic agents such as imipenem-cilastatin and permanent microspheres have distinct limitations....
Dhairya A Lakhani,Hamza Adel Salim,Vivek Yedavalli et al. Dhairya A Lakhani et al.
Background Ischemic lesion net water uptake (NWU), a CT biomarker of cerebral edema, has been linked to poor outcomes in patients with acute ischemic stroke (AIS) due to large vessel occlusion (LVO). Whether NWU outperforms other imaging ma...
Takeru Yamaguchi,Keitaro Sofue,Atsuhiro Masuda et al. Takeru Yamaguchi et al.
Background Deep learning (DL) models have shown promise in diagnosing pancreatic cancer (PC); however, models that simultaneously detect both direct and indirect imaging findings associated with PC are lacking. Purpose To develop and evalua...
Karan Jani,Govind Mattay,Vamsi Narra et al. Karan Jani et al.
Background Gathering oncologic history is necessary but inefficient. Recent efforts to generate clinical summaries using large language models (LLMs) have relied on manual information retrieval, prompt tuning, and subjective evaluation, lim...