AI Blog

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

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

Publications

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

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

Publications

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

ESR white paper: blockchain and medical imaging

Publications

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

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

Publications

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

letter to the editor

Integrating artificial intelligence into radiology practice: undergraduate students’ perspective

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...

Anwar Padhani & Tobias Penzkofer

1 day 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...

European Radiology

1 week ago

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

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...

Alex Vogel & Insights into Imaging

2 weeks 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...

Arnaldo Stanzione

3 weeks ago

Integrating artificial intelligence into radiology practice: undergraduate students’ perspective

The authors of this article have highlighted the importance of promoting reconciliation between...

Arosh Shavinda Perera

4 weeks 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...

European Radiology

4 weeks ago

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

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...

Hyunsuk Yoo & Mannudeep Kalra & Subba Digumarthy

1 month ago

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

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...

European Radiology

1 month ago

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

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...

Xiaoying Wang

2 months ago

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

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...

Dimitri Amiras

2 months ago

Practice makes perfect: Using AR to simulate CT guided procedures

Automated segmentation and quantification of the healthy and diseased aorta in CT angiographies using a dedicated deep learning approach

Performed between 2015 and 2018, the purpose of this study was to develop and validate a deep...

European Radiology

2 months ago

Automated segmentation and quantification of the healthy and diseased aorta in CT angiographies using a dedicated deep learning approach

Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data

Although challenging to predict, early recognition of COVID-19 severity can help guide patient...

European Radiology

2 months ago

Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data

Deep learning–based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC

Of late, deep learning-based algorithms have been successfully applied to various medical imaging...

So Yeon Kim

3 months ago

Deep learning–based algorithm to detect primary hepatic malignancy in multiphase CT of patients at high risk for HCC

Combined radiomics-clinical model to predict malignancy of vertebral compression fractures on CT

The authors of this study aimed to develop and validate a combined radiomics-clinical model to...

European Radiology

3 months ago

$Combined radiomics-clinical model to predict malignancy of vertebral compression fractures on CT$

A comparison between manual and artificial intelligence–based automatic positioning in CT imaging for COVID-19 patients

The authors of this study analyzed and compared the imaging workflow, radiation dose, and image...

European Radiology

4 months ago

A comparison between manual and artificial intelligence–based automatic positioning in CT imaging for COVID-19 patients

Welcome to the blog on Artificial Intelligence of the European Society of Radiology

This blog aims at bringing educational and critical perspectives on AI to readers. It should help imaging professionals to learn and keep up to date with the technologies being developed in this rapidly evolving field.

Welcome to the blog on Artificial Intelligence of the European Society of Radiology

Most used hashtags