machine learning

Quo vadis Radiomics? Bibliometric analysis of 10-year Radiomics journey

This study conducted a bibliometric analysis of radiomics ten years after the first work became available in March 2012. Throughout the analysis, the authors...

European Radiology

2 months ago

A novel AI model to distinguish benign from malignant ovarian tumors

The authors of this study developed a CT-based artificial intelligence model with the ability to differentiate between benign and malignant ovarian tumors,...

Insights into Imaging

2 months ago

Automated vetting of radiology referrals: exploring NLP and ML approaches

As computed tomography (CT) sees an increase in utilization, inappropriate imaging has been seen as a significant concern; however, manual justification...

Insights into Imaging

5 months ago

T2-weighted MRI-based radiomics discriminati between benign and borderline epithelial ovarian tumors

The authors of this study investigated whether radiomics based on T2-weighted MRI was able to discriminate between benign and borderline epithelial ovarian...

Insights into Imaging

5 months ago

Tasks for AI in prostate MRI

The authors of this narrative review aimed to introduce quality metrics for emerging artificial intelligence (AI) papers, such as the Checklist for Artificial...

European Radiology Experimental

6 months ago

Utilizing CLAIM to adapt the increasing trend of deep learning application in radiomics

The aim of this study was to provide an updated systematic review of radiomics in osteosarcoma, utilizing various databases such as PubMed, Embase, China...

Insights into Imaging

6 months ago

The effect of preprocessing filters on predictive performance in radiomics

In radiomics, the main goal is to extract quantitative features from medical data to train a predictive model using machine learning techniques. Contrary to...

Aydin Demircioğlu

7 months ago

Prediction of lipomatous soft tissue malignancy on MRI

This study, which included a cohort of 145 patients affected by lipomatous soft tissue tumours, aimed to compare the performances of MRI radiomic machine...

European Radiology Experimental

8 months ago

Reproducibility of AI models in head CT

The authors of this study reviewed research on AI algorithms relating to computed tomography (CT) of the head in order to verify to what degree it is true...

Insights into Imaging

9 months ago

The role of radiomics in the detection of lymph node metastases

The authors of this retrospective analysis looked at the role that radiomics played when applied to contrast-enhanced computed tomography (CT) in detecting...

European Radiology Experimental

9 months ago