AI Blog

Articles

Can radiomics signatures predict tumor reponse of patients treated with chemotherapy and targeted therapy?

The authors of this retrospective study had the goal of evaluating the effectiveness of radiomics signatures in order to predict the tumor response of...

European Radiology

Can radiomics signatures predict tumor reponse of patients treated with chemotherapy and targeted therapy?

Articles

Clinical applications of AI and radiomics in neuro-oncology

In this educational review, the authors take a comprehensive look at various aspects and applications of artificial intelligence (AI) in the field of...

Insights into Imaging

Clinical applications of AI and radiomics in neuro-oncology

Articles

Can machine learning predict the WHO/ISUP nuclear grade of clear cell renal cell carcinomas?

In this retrospective study, the authors investigated if radiomics features extracted from nephrographic-phase (NP) CT images combined with...

Insights into Imaging

Can machine learning predict the WHO/ISUP nuclear grade of clear cell renal cell carcinomas?

Education & Events

AIX returns to ECR 2022

In just a few months, Vienna will once again host the European Congress of Radiology. From July 13-17, 2022 radiologists, radiographers, and researchers from...

ESR

Education & Events

Take the autoPET challenge – Develop AI for lesion segmentation of whole-body PET/CT

In the spirit of cultivating and promoting research on machine learning-based automation and data evaluation, the European Society for Hybrid, Molecular and...

ESR

Take the autoPET challenge – Develop AI for lesion segmentation of whole-body PET/CT

Can radiomics signatures predict tumor reponse of patients treated with chemotherapy and targeted therapy?

The authors of this retrospective study had the goal of evaluating the effectiveness of radiomics...

European Radiology

3 days ago

Clinical applications of AI and radiomics in neuro-oncology

In this educational review, the authors take a comprehensive look at various aspects and...

Insights into Imaging

1 week ago

Can machine learning predict the WHO/ISUP nuclear grade of clear cell renal cell carcinomas?

In this retrospective study, the authors investigated if radiomics features extracted from...

Insights into Imaging

2 weeks ago

AIX returns to ECR 2022

In just a few months, Vienna will once again host the European Congress of Radiology. From July...

ESR

3 weeks ago

Radiomics in the prediction of disease-free survival in early-stage squamous cervical cancer

The authors of this study conducted multiparametric magnetic resonance imaging (MRI)-derived...

European Radiology

3 weeks ago

Radiomics in the prediction of disease-free survival in early-stage squamous cervical cancer

Take the autoPET challenge – Develop AI for lesion segmentation of whole-body PET/CT

In the spirit of cultivating and promoting research on machine learning-based automation and data...

ESR

4 weeks ago

Creating a training set for AI from initial segmentations of airways

An important challenge in the use of artificial intelligence (AI) for medical image segmentation...

Ivan Dudurych

1 month ago

Creating a training set for AI from initial segmentations of airways

A deep learning algorithm for VHD diagnosis and evaluation

This study aims to develop and validate a deep learning-based automatic chest radiograph (CXR)...

European Radiology

1 month ago

A deep learning algorithm for VHD diagnosis and evaluation

Deep learning radiomics in prediction of NAC response

For breast cancer, the standard of treatment for most patients is neoadjuvant chemotherapy (NAC),...

European Radiology

1 month ago

Deep learning radiomics in prediction of NAC response

AI applications in musculoskeletal disease (webinar April 7, 2022)

On Thursday, April 7 (19:00 - 20:00 CEST), the European Society of Medical Imaging Informatics...

ESR

2 months ago

AI applications in musculoskeletal disease (webinar April 7, 2022)

Misunderstandings on equitable and inequitable biases in machine learning

In this reply to a 'Letter to the editor', the authors seek to correct a few misunderstandings...

Insights into Imaging

2 months ago

Misunderstandings on equitable and inequitable biases in machine learning

Deep learning assesses additional radiation dose in overscanning

Following the COVID-19 pandemic, the number of chest CT examinations has dramatically increased,...

Yazdan Salimi & Habib Zaidi

2 months ago

Deep learning assesses additional radiation dose in overscanning

Upcoming ESOR course dives into Imaging Informatics (March 30, 2022)

In less than two weeks, the European School of Radiology (ESOR) will be hosting a foundation...

ESR

2 months ago

Upcoming ESOR course dives into Imaging Informatics (March 30, 2022)

Can AI predict breast tumour response?

This proof of concept study examines using a deep learning-based method for the automatic analysis...

European Radiology

2 months ago

Radiomic nomogram predicts pathology invasiveness

The purpose of this retrospective diagnostic study was to develop and validate a preoperative...

European Radiology

2 months ago

Radiomic nomogram predicts pathology invasiveness

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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