Articles

Differentiating lesions presenting as calcifications with AI

The authors of this study aimed to evaluate how artificial intelligence computer-aided detection (AI-CAD) differentiates lesions presenting as calcifications,...

European Radiology

6 months ago

The latest developments in radiomics and AI may help against prostate cancer

The authors of this systematic review explored the currently available literature on artificial intelligence (AI) and radiomics applied to molecular imaging...

European Radiology Experimental

6 months ago

Deep learning detection of ACL tear on knee MRI

The purpose of this study was to develop a deep-learning algorithm for tear detection in the anterior cruciate ligament (ACL), subsequently comparing its...

European Radiology

6 months ago

Applications of machine learning for imaging-driven diagnosis of musculoskeletal malignancies

Due to the rare nature of musculoskeletal malignancies and the lack of imaging data associated with this cancer, the authors of this study aimed to...

European Radiology

7 months ago

Metadata Models: The position of the AI for Health Imaging (AI4HI) network

Due to the enormous amount of imaging data that is becoming available, there is a wide range of possible improvements that can be provided by artificial...

European Radiology Experimental

7 months ago

Radiomic assessment of oesophageal adenocarcinoma

The use of radiomic models offers a possible way to improve oesophageal adenocarcinoma assessment through quantitative image analysis, but model selection...

Insights into Imaging

7 months ago

Possible strategies for use of AI in screen-reading of mammograms

After publishing the overall performance results of an AI system in Radiology (Artificial Intelligence Evaluation of 122,969 Mammography Examinations from a...

Marthe Larsen

7 months ago

Non-invasive prediction of microsatellite instability in colorectal cancer

The goal of this study was to establish a CT-based radiomics signature in order to predict microsatellite instability (MSI) status in patients with colorectal...

European Radiology

8 months ago

The potential of texture analysis for breast density classification

Breast cancer continues to be the most commonly diagnosed cancer among women with over 2 million new cases per year worldwide. One important independent risk...

European Radiology Experimental

8 months ago

How well does a 3D convolutional neural network perform in detecting hypoperfusion?

Due to the life-threatening nature of chronic pulmonary embolism (CPE) and how easily it can be misdiagnosed on computed tomography, the authors of this study...

European Radiology Experimental

8 months ago