deep learning

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

A deep learning algorithm for VHD diagnosis and evaluation

This study aims to develop and validate a deep learning-based automatic chest radiograph (CXR) cardiovascular border (CB) analysis algorithm (CB_auto) in...

European Radiology

1 year 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

Deep learning assesses additional radiation dose in overscanning

Following the COVID-19 pandemic, the number of chest CT examinations has dramatically increased, which will undeniably impact public medical exposure....

Yazdan Salimi

1 year ago

Integrated AI model aids ultrasonographers

In this study, the authors aimed to develop an explainable ultrasound (US) computer-assisted diagnostic (CAD) model for suspicious thyroid nodules by...

European Radiology

2 years ago

Saliency-based 3D convolutional neural network for categorising common focal liver lesions on multisequence MRI

We investigated a saliency-based 3D convolutional neural network (CNN) to classify seven categories of common focal liver lesions and validated the model...

Zheng-Han Yang

2 years ago

Deep learning–assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge

Prostate MRI can be a game-changer for many men with elevated prostate-specific antigen (PSA). For decades these many men underwent biopsies while never...

Henkjan Huisman

2 years ago

A fully automatic artificial intelligence–based CT image analysis system for accurate detection, diagnosis, and quantitative severity evaluation of pulmonary tuberculosis

The authors of this study aimed to develop an artificial intelligence (AI)-based fully automated CT image analysis system in order to detect and diagnose...

European Radiology

2 years ago

Evaluation of a CTA-based convolutional neural network for infarct volume prediction in anterior cerebral circulation ischaemic stroke

The authors of this study aimed to determine the efficacy of a convolutional neural network (CNN) in final infarct volume prediction from computed tomography...

European Radiology Experimental

2 years ago

Machine learning automatically detects COVID-19 using chest CTs in a large multicenter cohort

This retrospective, multi-institutional study investigated machine learning classifiers and interpretable models using chest CT for the detection of COVID-19...

European Radiology

2 years ago