Publications

ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging

The clinical promise of artificial intelligence (AI) in prostate cancer diagnosis has yet to materialize. Any AI application must reach an appropriate level...

Anwar Padhani & Tobias Penzkofer

1 month ago

Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning

The purpose of this study was to evaluate the performance of deep learning using ResNet50 in the differentiation of benign and malignant vertebral fracture on...

European Radiology

2 months ago

ESR white paper: blockchain and medical imaging

The term “blockchain” may be familiar to those of whom have their fingers on the pulse of the latest technology or cryptocurrency trends – think Bitcoin or...

Alex Vogel & Insights into Imaging

2 months ago

Clinical value of radiomics and machine learning in breast ultrasound: a multicenter study for differential diagnosis of benign and malignant lesions

Beyond hopes and hype, the clinical applicability of artificial intelligence decision support tools deserves to be rigorously explored in multicenter...

Arnaldo Stanzione

2 months ago

Integrating artificial intelligence into radiology practice: undergraduate students’ perspective

The authors of this article have highlighted the importance of promoting reconciliation between artificial intelligence (AI) developers and radiologists to...

Arosh Shavinda Perera

2 months ago

COVID-19 classification of X-ray images using deep neural networks

The authors of this retrospective study propose a deep learning model for the detection of COVID-19 from chest x-rays (CXRs), as well as a tool for retrieving...

European Radiology

2 months ago

AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset

Our study included 519 screening chest radiographs (CXRs) from 294 patients enrolled in the National Lung Screening Trial (NLST) who either had proven to have...

Hyunsuk Yoo & Mannudeep Kalra & Subba Digumarthy

3 months ago

Machine learning based on the multimodal connectome can predict the preclinical stage of Alzheimer’s disease: a preliminary study

Subjective cognitive decline (SCD) may be a preclinical stage of Alzheimer’s disease (AD). For this preliminary study, the authors recruited one hundred...

European Radiology

3 months ago

Fully automated pelvic bone segmentation in multiparametric MRI using a 3D convolutional neural network

The accurate skeleton segmentation with their semantic labels represents the initial step to achieve accurate prostate cancer bone metastases detection on DWI...

Xiaoying Wang

3 months ago

Practice makes perfect: Using AR to simulate CT guided procedures

As a junior radiology trainee, when I was not in the reporting room or on the wards doing portable ultrasounds, I found learning CT procedures a daunting task...

Dimitri Amiras

3 months ago