AI Blog

Tech

Looking outside the box: the human brain as an AI model, a brief overview of machine learning, and brewing beer with AI

This week in artificial intelligence (AI) news, we take a look at the human brain as a model for AI networks and programs, an overview of machine learning and...

ESR

ai news

Looking outside the box: the human brain as an AI model, a brief overview of machine learning, and brewing beer with AI

Publications

Deep learning: definition and perspectives for thoracic imaging

The authors of this review aimed to provide definitions for understanding the methods of machine learning, deep learning, and convolutional neural networks...

European Radiology

Deep learning: definition and perspectives for thoracic imaging

COVID-19

AI algorithm developed in collaborative approach to fight COVID-19

Within the science community, the role of computed tomography (CT) for diagnosis is currently being debated. In this context, preliminary studies showed that...

ESR

AI algorithm developed in collaborative approach to fight COVID-19

COVID-19 Healthcare

First CE-marked image AI solution for chest CT in COVID-19

A group of hospitals (Vrije Universiteit Brussel, UZ Brussel, KU Leuven, UZ Leuven, and UZ Antwerpen), together with icometrix and other organizations, have...

icometrix

First CE-marked image AI solution for chest CT in COVID-19

Publications

Radiomics allows for detection of benign and malignant histopathology in patients with metastatic testicular germ cell tumors prior to post-chemotherapy retroperitoneal Iymph node dissection

Among solid tumors, testicular germ cell tumors (TGCT) are the most common entity in men below the age of 40, and they are very likely to metastasize. The...

Bettina Baeßler

Radiomics allows for detection of benign and malignant histopathology in patients with metastatic testicular germ cell tumors prior to post-chemotherapy retroperitoneal Iymph node dissection

Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer

The purpose of this retrospective study was to develop and evaluate the performance of U-Net to...

European Radiology

4 days ago

Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer

Looking outside the box: the human brain as an AI model, a brief overview of machine learning, and brewing beer with AI

This week in artificial intelligence (AI) news, we take a look at the human brain as a model for...

ESR

1 week ago

Deep learning: definition and perspectives for thoracic imaging

The authors of this review aimed to provide definitions for understanding the methods of machine...

European Radiology

2 weeks ago

A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images

In this study, the authors aimed to develop a deep learning-based artificial intelligence (AI)...

European Radiology

3 weeks ago

A deep residual learning network for predicting lung adenocarcinoma manifesting as ground-glass nodule on CT images

Looking outside the box: AI detecting hate-speech, algorithms as artists, and AI-driven song contests

This week in artificial intelligence (AI) news, we take a look at what Facebook is doing to...

ESR

3 weeks ago

Looking outside the box: AI detecting hate-speech, algorithms as artists, and AI-driven song contests

Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach

The aim of this study was to evaluate whether machine learning algorithms allow for the prediction...

European Radiology Experimental

4 weeks ago

Multiphase CT-based prediction of Child-Pugh classification: a machine learning approach

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...

European Radiology

1 month ago

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

Radiology in the fight against COVID-19: How can AI help?

On the episode of "ESR Connect - Radiology fighting COVID-19", which premiered on Wednesday, April...

ESR

1 month ago

Radiology in the fight against COVID-19: How can AI help?

First CE-marked image AI solution for chest CT in COVID-19

A group of hospitals (Vrije Universiteit Brussel, UZ Brussel, KU Leuven, UZ Leuven, and UZ...

icometrix

1 month ago

Radiomics allows for detection of benign and malignant histopathology in patients with metastatic testicular germ cell tumors prior to post-chemotherapy retroperitoneal Iymph node dissection

Among solid tumors, testicular germ cell tumors (TGCT) are the most common entity in men below the...

Bettina Baeßler

1 month ago

Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey

Our study surveyed 484 medical students from 17 medical schools on their views towards AI. We also...

Daniel Poon

2 months ago

Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey

Looking outside the box: how AI is being used against COVID-19, fighting bias in writing, and virtual assistants going to work in the UK

This week in artificial intelligence (AI) news, we take a look at AI apps being utilized to fight...

ESR

2 months ago

Looking outside the box: how AI is being used against COVID-19, fighting bias in writing, and virtual assistants going to work in the UK

Test-retest reproducibility of a deep learning–based automatic detection algorithm for the chest radiograph

The authors of this retrospective study performed test-retest reproducibility analyses for a deep...

European Radiology

2 months ago

Test-retest reproducibility of a deep learning–based automatic detection algorithm for the chest radiograph

Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound

The aim of this study was to establish and validate an artificial intelligence-based radiomics...

European Radiology

2 months ago

Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound

Deep learning workflow in radiology: how to get started

In the past decade, deep learning architectures, which essentially consist of neural networks with...

An Tang

2 months ago

Deep learning workflow in radiology: how to get started

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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