breast cancer

Radiomic features of breast parenchyma

The object of this study was to assess the similarities and differences of radiomics features on full field digital mammography (FFDM) in FOR PROCESSING and...

Insights into Imaging

11 months ago

Deep learning radiomics in prediction of NAC response

For breast cancer, the standard of treatment for most patients is neoadjuvant chemotherapy (NAC), but response rates may vary among patients, causing delays...

European Radiology

1 year ago

Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study

In this multi-reader, multi-case study, the authors aimed to investigate whether an artificial intelligence (AI) support system could help to increase the...

European Radiology

2 years 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 tools deserves to be rigorously explored in multicenter...

Arnaldo Stanzione

2 years ago

An A.I. classifier derived from 4D radiomics of dynamic contrast-enhanced breast MRI data: potential to avoid unnecessary breast biopsies

In this retrospective study, the authors aimed to evaluate a temporally and spatially resolved (4D) radiomics approach to distinguish benign from malignant...

European Radiology

2 years ago

The promising possibility of using AI in mammography screening

In two recent publications in European Radiology, we have addressed two, of several, challenges with mammography screening. Firstly, the vast majority of...

Kristina Lång

2 years ago

Artificial Intelligence to Help Radiologists in the Early Detection of Breast Cancer with Mammography and Breast Tomosynthesis

During the COVID-19 pandemic, routine breast cancer screening is largely being put on hold in many countries. Although it is not directly related, Sars-CoV-2...

ESR

3 years ago

Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study

The aim of this retrospective study was to establish and validate a radiomics nomogram that was based on contrast-enhanced spectral mammography (CESM) for the...

European Radiology

3 years ago

AI for reading screening mammograms: the need for circumspection

AI is viewed as an emerging technology for reading screening mammograms. However, most studies done so far have adopted retrospective designs that cannot...

Philippe Autier

3 years ago

Reasons to do AI with Friends: The one where we classify breast cancer with MRI

“This was just awesome!” “Fantastic!” “Thank you for this great session!” These were only a few of the feedback messages...

ESR

3 years ago