Lisa Ullrich,Torleif Sandner,Thomas Helmberger
Lisa Ullrich
Claudius Melzig,Dittmar Böckler,Hans-Ulrich Kauczor et al.
Claudius Melzig et al.
Imaging, particularly computed tomography (CT) and magnetic resonance imaging (MRI), plays a central role in the diagnostics, treatment planning and follow-up of aortic diseases. While ultrasound is often used for the initial assessment, CT...
Markus M Graf,Keno K Bressem,Lisa C Adams
Markus M Graf
Background: The rapid development of large language models (LLMs) opens up new possibilities for the automated processing of medical texts. Transforming unstructured radiology reports into structured data is crucial for e...
Matthias Dietzel,Alexandra Resch,Pascal A T Baltzer
Matthias Dietzel
Clinical/methodical issue: Artificial intelligence (AI) is being increasingly integrated into clinical practice. However, the specific benefits are still unclear to many users. ...
[Artificial intelligence in radiology : Literature overview and reading recommendations] [0.03%]
[放射科的人工智能：文献综述和读片建议]
Moritz C Halfmann,Peter Mildenberger,Tobias Jorg
Moritz C Halfmann
Background: Due to the ongoing rapid advancement of artificial intelligence (AI), including large language models (LLMs), radiologists will soon face the challenge of the responsible clinical integration of these models. ...
Value of enhanced CT machine learning models combined with clinicoradiological characteristics in predicting lymphatic tissue metastasis in colon cancer [0.03%]
基于临床放射组学特征的机器学习模型预测结肠癌淋巴结转移的价值研究
Xinyi Li,Ziwei Tang,Yong Liu et al.
Xinyi Li et al.
This study aimed to assess the effectiveness of various machine learning models in identifying lymph node metastasis in colon cancer patients and to explore the potential benefits of combining clinicoradiological and radiomics features for ...
[Molecular breast imaging : Positron emission tomography/magnetic resonance imaging and targeted tracers] [0.03%]
[分子乳腺影像：正电子发射型计算机断层扫描/磁共振成像和特异性示踪剂]
Kapetas Panagiotis,Roberto Lo Gullo,Daphne Resch et al.
Kapetas Panagiotis et al.
Background: Molecular imaging has been introduced into breast imaging in recent years, in order to improve breast cancer (BC) depiction as well as our understanding of cancer-associated processes at a cellular and molecul...
[Stroke update] [0.03%]
[卒中快讯]
Wolfgang Reith
Wolfgang Reith
Diffusion tensor imaging features of white matter pathways in the brain after COVID-19 infection [0.03%]
COVID-19感染后的脑白质通路的弥散张量成像特征
Serdar Balsak,Bahar Atasoy,Fatma Yabul et al.
Serdar Balsak et al.
Purpose: To determine whether there is a difference in apparent diffusion coefficient (ADC) and fractional anisotropy (FA) values in white matter pathways in the subacute period after COVID-19 infection and to evaluate th...