Radiology

Artificial Intelligence-enhanced cardiac MRI reporting: expert validation and patient-centered outcomes.

As patients increasingly access their own electronic health records, the dense technical language of cardiac magnetic resonance (CMR) reports has become a barrier both to patient comprehension and to decision-making by non-imaging physicians. We evaluated whether ChatGPT-4o can enhance the accessibility of CMR reports and generate clinical recommendations, and we quantified the accuracy, safety, a...

Echo Chambers: Bias and Representation in Cardiac Imaging Datasets for Artificial Intelligence.

PURPOSE OF REVIEW: We examined the landscape of publicly available cardiac imaging datasets to assess how their distribution and construction shape bias and equity in cardiovascular AI. RECENT FINDINGS: Across 38 publicly available echocardiography, cardiac magnetic resonance imaging, and cardiac computed tomography datasets, nearly 80% originate from high-income countries, with no public cardiac ...

Advancements in Pediatric Moyamoya Disease: A Critical Review of Surgical Decision-Making, Outcomes, and Future Directions.

Pediatric moyamoya disease (MMD) is a progressive steno-occlusive arteriopathy that carries a high risk of recurrent ischemic stroke and neurocognitiv...

Deep learning-based image domain reconstruction of undersampled low-field brain MRI: A comparative benchmark study of U-Net architectures.

Low-field magnetic resonance imaging (MRI) is an affordable medical imaging technique used to assess the structural and functional features of interna...

From metabolite mapping to precision imaging: advances in in vivo MR spectroscopy of brain tumours.

Magnetic resonance spectroscopy (MRS) provides non-invasive in vivo assessment of brain tumour metabolism and complements conventional magnetic resona...

A novel convolution-transformer model for differentiating hypertrophic cardiomyopathy from Phenocopies using cardiac MRI.

BACKGROUND AND OBJECTIVES: Hypertrophic Cardiomyopathy (HCM) is the most prevalent inherited cardiomyopathy. Its left ventricular hypertrophy (LVH) ph...

Noise removal and intensity inhomogeneity correction in brain MRI: A comprehensive review from classical filters to transformer and diffusion models.

Magnetic resonance imaging (MRI) is the preferred modality for non-invasive examination of the human brain, but the acquired images are inevitably cor...

Accelerated Cardiac MRI Using Deep Learning Cine Imaging: Validation in Pediatric Patients both with and without Congenital Heart Disease.

BACKGROUND: Conventional breath-held 2D bSSFP cine CMR requires multiple breath holds and prolonged acquisition time, posing challenges for children a...

Graph-Based Neural Network for Malignancy Detection in Breast Ultrasound Images using Medically Significant Features.

OBJECTIVE: Breast ultrasound imaging is widely used for the early detection of malignant breast lesions. Although deep learning models have shown stro...

Artificial Intelligence in Neuromuscular Diseases: Opportunities for a Data-Scarce Field.

Neuromuscular diseases (NMDs) encompass over 800 distinct entities affecting approximately one in 1000 individuals worldwide, with progressive muscle ...

Clinical Implementation and Validation of Automated Slice-to-Volume Reconstruction for Fetal MRI Using a Vendor-Neutral MONAI-Based Imaging Informatics Pipeline.

This study aims to evaluate the clinical performance and operational reliability of a fully automated, vendor-neutral imaging informatics pipeline for...

Deep Learning Algorithm-Reconstructed Triple-Rule-Out CT: Image Quality and Performance in Evaluating Coronary Lumen Stenosis.

To assess radiation burden and contrast medium load, image quality, and the performance of AI-reader and junior radiologists in evaluating coronary st...

CARE: Multimodal Alignment Learning for Ophthalmic Imaging via Joint Optimal-Transport Soft Matching and Graph Neural ODE Refinement.

Medical artificial intelligence (AI) has shown great potential for the early screening and accurate diagnosis of fundus diseases. However, diagnostic ...

Multi-task Deep Learning via UNETR for PSMA PET/CT Image for Prostate Cancer: Simultaneous Assessment of Prostate Cancer Disease Burden, Treatment Selection and Survival Outcomes.

Prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) provides rich molecular imaging across the prostate ...

Generative Brain Priors-Driven Self-Regulated and Clinically-Guided Multimodal Fusion for Early Alzheimer's Disease Diagnosis.

Alzheimer's disease (AD) and mild cognitive impairment (MCI) require accurate early diagnosis to support timely clinical intervention and disease mana...

[Advances and prospects of hemostatic strategies in hepatic surgery].

The liver is characterized by abundant blood supply and intricate anatomical architecture,rendering intraoperative and postoperative hemorrhage a prim...

Machine learning for prediction of large-for-gestational-age neonate with adverse outcome at routine ultrasound examination at 35-37 weeks.

OBJECTIVES: To evaluate the performance of a machine-learning (ML) model compared with traditional logistic regression models for predicting a large-f...

Feasibility of reducing radiation dose and contrast dose while improving image quality in dual-energy CT pulmonary angiography : Use of low-energy virtual monochromatic images with deep learning image reconstruction algorithm.

BACKGROUND: We explored the feasibility of reducing both radiation and contrast doses while improving image quality using low-energy virtual monochrom...

Dendritic U-Net for robust vascular wall segmentation in ultrasound imaging.

PURPOSE: We proposed a method that combines the deep learning model U-Net with a dendritic neuron model (DNM) and demonstrated its effectiveness for m...

Emerging frontiers and challenges of artificial intelligence in PSMA-PET imaging: pioneering a new chapter in prostate cancer care.

Prostate-specific membrane antigen positron emission tomography (PSMA-PET) has become pivotal in prostate cancer (PCa) management, offering superior s...