Insights into Imaging

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

Single-center versus multi-center biparametric MRI radiomics approach

In this study, the authors’ aim was to investigate a previously developed radiomics-based biparametric magnetic resonance imaging (bpMRI) approach used...

Insights into Imaging

11 months ago

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

1 year 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 nephrographic-phase (NP) CT images combined with...

Insights into Imaging

1 year ago

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 relating to equitable and inequitable biases in...

Insights into Imaging

1 year ago

CT and MRI radiomics of bone and soft-tissue sarcomas: a systematic review of reproducibility and validation strategies

The authors of this study aimed to systematically review radiomic feature reproducibility and predictive model validation strategies in studies that deal with...

Insights into Imaging

1 year ago

Artificial intelligence in medical imaging practice in Africa: a qualitative content analysis study of radiographers’ perspectives

The aim of this study was to qualitatively explore the perception of radiographers in relation to the integration and acceptance of artificial intelligence...

Insights into Imaging

2 years ago

ESR white paper: blockchain and medical imaging

The term “blockchain” may be familiar to those of whom have their fingers on the pulse of the latest technology or cryptocurrency trends – think Bitcoin or...

Insights into Imaging

2 years ago

Convolutional neural networks: an overview and application in radiology

Numerous domains, including radiology, have shown interest in convolutional neural network (CNN) – a class of artificial neural networks that has become...

Insights into Imaging

4 years ago  - 5 minutes read

Ethical and regulatory issues regarding artificial intelligence in medicine

Worldwide interest in artificial intelligence (AI) applications is growing rapidly. In medicine, devices based on machine/deep learning have proliferated,...

Insights into Imaging

4 years ago