Radiology

Predicting mucosal healing in Crohn's disease: development of a deep-learning model based on intestinal ultrasound images.

OBJECTIVE: Predicting treatment response in Crohn's disease (CD) is essential for making an optimal ...

Artificial intelligence (AI) and CT in abdominal imaging: image reconstruction and beyond.

Computed tomography (CT) is a cornerstone of abdominal imaging, playing a vital role in accurate dia...

Canadian Radiology Update.

Radiology research at Canadian institutions is advancing patient care through multidisciplinary coll...

Can automation and artificial intelligence reduce echocardiography scan time and ultrasound system interaction?

BACKGROUND: The number of patients referred for and requiring a transthoracic echocardiogram (TTE) h...

AI based automatic measurement of split renal function in [F]PSMA-1007 PET/CT.

BACKGROUND: Prostate-specific membrane antigen (PSMA) is an important target for positron emission t...

MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting.

Magnetic resonance imaging (MRI) is essential in clinical and research contexts, providing exception...

Application Value of Deep Learning-Based AI Model in the Classification of Breast Nodules.

Breast nodules are highly prevalent among women, and ultrasound is a widely used screening tool. Ho...

Psychedelics, entactogens and psychoplastogens for depression and related disorders.

Currently, the most actively investigated rapidly acting antidepressants, anxiolytics and/or anti PT...

FFLUNet: Feature Fused Lightweight UNet for brain tumor segmentation.

Brain tumors, particularly glioblastoma multiforme, are considered one of the most threatening types...

Application of Machine Learning to Breast MR Imaging.

The demand for breast imaging services continues to grow, driven by expanding indications in breast ...

Comparative analysis of pre-transcatheter aortic valve implantation CTA protocols: Optimizing radiation dose and contrast volume.

BACKGROUND: To establish the most effective and safe pre-transcatheter aortic valve implantation (TA...

Predicting pulmonary hemodynamics in pediatric pulmonary arterial hypertension using cardiac magnetic resonance imaging and machine learning: an exploratory pilot study.

PURPOSE: Pulmonary arterial hypertension (PAH) significantly affects the pulmonary vasculature, requ...

Prediction of NIHSS Scores and Acute Ischemic Stroke Severity Using a Cross-attention Vision Transformer Model with Multimodal MRI.

RATIONALE AND OBJECTIVES: This study aimed to develop and evaluate models for classifying the severi...

Correction: Optimizing breast lesions diagnosis and decision-making with a deep learning fusion model integrating ultrasound and mammography: a dual-center retrospective study.

Long-term prognostic value of the CT-derived fractional flow reserve combined with atherosclerotic burden in patients with non-obstructive coronary artery disease.

OBJECTIVES: The long-term prognostic significance of the coronary computed tomography angiography (C...

Uncovering ethical biases in publicly available fetal ultrasound datasets.

We explore biases present in publicly available fetal ultrasound (US) imaging datasets, currently at...

Enhancing Free-hand 3D Photoacoustic and Ultrasound Reconstruction using Deep Learning.

This study introduces a motion-based learning network with a global-local self-attention module (MoG...

3D-MRI brain glioma intelligent segmentation based on improved 3D U-net network.

PURPOSE: To enhance glioma segmentation, a 3D-MRI intelligent glioma segmentation method based on de...

Same-model and cross-model variability in knee cartilage thickness measurements using 3D MRI systems.

PURPOSE: Magnetic Resonance Imaging (MRI) based three-dimensional analysis of knee cartilage has evo...

Development and validation of an MRI spatiotemporal interaction model for early noninvasive prediction of neoadjuvant chemotherapy response in breast cancer: a multicentre study.

BACKGROUND: The accurate and early evaluation of response to neoadjuvant chemotherapy (NAC) in breas...

Spatiotemporal distributions and regional disparities of rheumatoid arthritis in 953 global to local locations, 1980-2040, with deep learning-empowered forecasts and evaluation of interventional policies' benefits.

OBJECTIVES: To investigate global to local socioeconomic-driven distributions and inequalities in bu...