diagnostic imaging

Quality assurance for automatically generated contours with additional deep learning

This study explores the importance of quality assurance when deploying an automatic segmentation model. The authors of this study built a deep-learning model...

Insights into Imaging

2 months ago

EuSoMII Radiomics Auditing Group Initiative: Review of RQS applications

When the Radiomics Quality Score (RQS) was presented to the scientific community back in 2017, its authors aimed to introduce a tool for a rapid and effective...

Arnaldo Stanzione

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

9 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

9 months ago

Can AI predict breast tumour response?

This proof of concept study examines using a deep learning-based method for the automatic analysis of digital mammograms as a tool to aid in the assessment of...

European Radiology

1 year ago

An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education

As a follow-up to part one of this international survey on artificial intelligence (AI), which surveyed over 1,000 radiologists and radiology residents and...

European Radiology

1 year ago

Bridging the chasm: Education may turn Early Majority into Early Adopters

A while ago we came up with the idea to investigate the intersection between change management and artificial intelligence (AI) in radiology. We wanted to...

Merel Huisman

2 years ago

How can we combat multicenter variability in MR radiomics? Validation of a correction procedure

In this study, the authors extended the ComBat approach to provide a harmonization procedure that is applicable to any radiomic feature. They achieve this by...

European Radiology

2 years ago

Artificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT

The authors of this study aimed to determine the diagnostic performance of a deep learning algorithm for the automated detection of small 18F-FDG-avid...

European Radiology

3 years ago