Articles

AI system for detecting COVID-19 on chest radiographs in symptomatic patients

Due to the challenges associated with differentiating COVID-19 from the number of respiratory infections that can appear on chest radiographs (CXR), the...

European Radiology

1 month ago

MRI-based radiomics to predict response in locally advanced rectal cancer

The study aimed to implement and externally validate an MRI-based radiomics pipeline in order to predict the response to treatment of locally advanced rectal...

European Radiology Experimental

2 months ago

Radiologists with and without deep learning–based computer-aided diagnosis

When radiologists encounter pulmonary nodules/masses in computed tomography (CT) images, they diagnose malignancy based on lesion characteristics (e.g.,...

Shoji Kido

2 months ago

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

2 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

2 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

3 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

3 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

3 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

3 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

3 months ago