AI Blog

Articles

Communicating with patients in the age of online portals

Future generations of patients are very likely to get more involved in decisions regarding their healthcare according to the motto “nothing about me without...

Christoph Becker

Communicating with patients in the age of online portals

Articles

Considerations for AI clinical impact in oncologic imaging

Artificial Intelligence for Health Imaging (AI4HI) is a network of 5 large EU-funded research projects (Chaimeleon, EuCanImage, INCISIVE, ProCancer-I,...

Luis Martí-Bonmatí

Considerations for AI clinical impact in oncologic imaging

Articles

Deep Learning–driven classification of external DICOM studies for PACS archiving

The authors of this study used a deep learning-based approach, MOdality Mapping and Orchestration (MOMO), to deal with potential issues that are caused when...

European Radiology

Deep Learning–driven classification of external DICOM studies for PACS archiving

Articles

AI for radiological paediatric fracture assessment

Fractures in children are common, sometimes subtle and can signify underlying child abuse. They present unique challenges, given the different appearances of...

Susan Shelmerdine

$AI for radiological paediatric fracture assessment$

Articles

The role of generative adversarial networks in brain MRI

Magnetic Resonance Imaging (MRI) is a widely used medical imaging technology that is non-intrusive and considered safe for humans and can generate different...

Hazrat Ali & Zubair Shah

The role of generative adversarial networks in brain MRI

Communicating with patients in the age of online portals

Future generations of patients are very likely to get more involved in decisions regarding their...

Christoph Becker

5 days ago

Considerations for AI clinical impact in oncologic imaging

Artificial Intelligence for Health Imaging (AI4HI) is a network of 5 large EU-funded research...

Luis Martí-Bonmatí

2 weeks ago

Deep Learning–driven classification of external DICOM studies for PACS archiving

The authors of this study used a deep learning-based approach, MOdality Mapping and Orchestration...

European Radiology

3 weeks ago

AI for radiological paediatric fracture assessment

Fractures in children are common, sometimes subtle and can signify underlying child abuse. They...

Susan Shelmerdine

4 weeks ago

$AI for radiological paediatric fracture assessment$

The role of generative adversarial networks in brain MRI

Magnetic Resonance Imaging (MRI) is a widely used medical imaging technology that is non-intrusive...

Hazrat Ali & Zubair Shah

1 month ago

Survey of ESR members looks at radiologists’ practical experience with AI

To obtain an impression of the current practical clinical experience of radiologists from...

Christoph Becker

1 month ago

Survey of ESR members looks at radiologists’ practical experience with AI

ESCR goes on-site for the first time in two years (Oct. 27-29)

This week marks the first in-person meeting of the European Society of Cardiovascular Radiology...

ESR

1 month ago

ESCR goes on-site for the first time in two years (Oct. 27-29)

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...

European Radiology

2 months ago

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

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...

European Radiology Experimental

2 months ago

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

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

When radiologists encounter pulmonary nodules/masses in computed tomography (CT) images, they...

Shoji Kido

2 months ago

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

Differentiating lesions presenting as calcifications with AI

The authors of this study aimed to evaluate how artificial intelligence computer-aided detection...

European Radiology

2 months ago

Differentiating lesions presenting as calcifications with AI

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...

European Radiology Experimental

2 months ago

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

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...

European Radiology

3 months ago

Deep learning detection of ACL tear on knee MRI

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...

European Radiology

3 months ago

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

The future of breast imaging: AI at EUSOBI 2022 (Sept. 29 – Oct. 1)

At this year's Annual Scientific Meeting, the European Society of Breast Imaging (EUSOBI) will...

ESR

3 months ago

The future of breast imaging: AI at EUSOBI 2022 (Sept. 29 – Oct. 1)

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

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