biomarkers

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

1 year ago

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

Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectives

This literature review summarizes the current status and evaluates the scientific reporting quality of radiomics research in the prediction of treatment...

European Radiology

2 years ago

Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectives

Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics

The purpose of this single-center retrospective study was to investigate the effectiveness of contrast-enhanced computed tomography (CECT)-based radiomic...

European Radiology

2 years ago

Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics

Radiomics: the facts and the challenges of image analysis

Radiomics is a complex multi-step process that can be considered as part of the more complex world of Artifical Intelligence (AI). The aim of radiomics is...

Stefania Rizzo

4 years ago

Radiomics: the facts and the challenges of image analysis

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.

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

Radiomics in predicting treatment response in non-small-cell lung cancer: current status, challenges and future perspectives

Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics

Radiomics: the facts and the challenges of image analysis

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

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