Latest AI and machine learning research in radiology for healthcare professionals.
The aim of this study is to evaluate the role of convolutional neural network (CNN) in predicting ax...
We investigate the viability of statistical relational machine learning algorithms for the task of i...
In the course of digitalization it is becoming increasingly rare for medical documents to be handwri...
Since 2012, we have been developing a remote-controlled robotic system (Zerobot®) for needle inserti...
PURPOSE: To compare the accuracy and reliability of a natural language processing (NLP) algorithm wi...
We report a case of pelvic metastasis of rectal cancer that developed 10 years after curative resect...
Positive contrast gastrointestinal (GI) studies are performed frequently in avian medicine to identi...
AIM OF THE STUDY: Investigation of the correlation between serum estradiol (E2), salivary E2 and son...
OBJECTIVES: The aims of this study were, first, to evaluate a deep learning-based, automatic gliobla...
Machine learning is rapidly gaining importance in radiology. It allows for the exploitation of patte...
OBJECTIVEPrognostication and surgical planning for WHO grade I versus grade II meningioma requires t...
OBJECTIVEGlioblastoma (GBM) and primary central nervous system lymphoma (PCNSL) are common intracran...
Image segmentation is one of the most common steps in digital image processing, classifying a digita...
After years of development, the RadLex terminology contains a large set of controlled terms for the ...
Accurate and early diagnosis of Alzheimer's disease (AD) plays important role for patient care and d...
The purposes of this study are to evaluate the feasibility of protocol determination with a convolut...
The digitalization in medicine has led to almost universal availability of information to different ...
Inhibitory synchronization is commonly observed and may play some important functional roles in exci...
The diagnosis of dilated cardiomyopathy (DCM) remains a challenge in clinical radiology. This study ...
BACKGROUND: The variability of responses to plasticity-inducing repetitive transcranial magnetic sti...
Past work on relatively small, single-site studies using regional volumetry, and more recently machi...