Radiology

Multicenter evaluation of real-time artificial intelligence assistance for carotid artery stenting.

BACKGROUND: Unintended device movement during carotid artery stenting (CAS) may lead to procedural complications. Our previous preliminary single-center study using a real-time artificial intelligence (AI) assistance system suggested that AI may help detect such movements and offer potential clinical usefulness; however, the small sample size limited the strength of the findings. In this multicent...

Diagnosis of Small Focal Liver Lesions (≤2 cm): A Deep Learning Approach Based on B-Mode Ultrasound and Contrast-Enhanced Ultrasound.

BACKGROUND: To develop and validate a deep learning (DL) model based on feature fusion with B-mode ultrasound (BMUS) and contrast enhanced ultrasound (CEUS) images for non-invasive diagnosis of benign and malignant focal liver lesions (FLLs), especially for small FLLs (≤2.0 cm). METHODS: A retrospective dataset of 687 patients who were diagnosed with FLLs by BMUS and underwent CEUS between Septemb...

Enhanced brain tumour prediction using quantum: a hybrid deep learning approach.

Brain tumours are very serious concerns in the health field; they should be diagnosed properly and at the right time to ensure treatment efficacy. Whi...

Deep transfer learning for detection of placenta-mediated diseases from ultrasound images.

Placenta-mediated diseases, such as preeclampsia (PE) and small-for-gestational-age (SGA) neonates, are associated with structural and functional chan...

Spatially identifying regions of tumor recurrence in patients with suspected recurrent glioma using physiologic MRI and machine learning.

Despite prior success in classifying recurrent glioma noninvasively with multi-parametric MRI and AI, clinical applicability has yet to be demonstrate...

Feasibility of deep learning-accelerated ultrafast T1-weighted VIBE Dixon imaging of the pelvis for screening of metastases in prostate MRI.

OBJECTIVE: This study aims to assess the image quality and perceived diagnostic confidence of research deep learning (DL)-accelerated T1-weighted "vol...

Roles and applications of artificial intelligence in fetal and placental MRI: a literature review.

BACKGROUND: Artificial intelligence (AI) has been increasingly integrated with fetal and placental magnetic resonance imaging (MRI) to enhance the det...

Discrimination of generalized anxiety and major depressive disorders by machine learning of resting-state functional MRI.

OBJECTIVE: To address the clinical difficulty of differentiating Generalized Anxiety Disorder (GAD) from Major Depressive Disorder (MDD), this study a...

Development and validation of an interpretable ultrasound radiomics model for benign and malignant classification of breast lesions: a multicenter large-sample study.

OBJECTIVES: To develop and validate a combined ultrasound-based radiomics-clinical model for differentiating benign and malignant breast lesions. MATE...

Evaluation of an AI-based segmentation model for mandibular fracture segmentation on CBCT using volumetric and 2D slice-based validation approaches.

OBJECTIVE: This study aimed to evaluate the diagnostic performance of an artificial intelligence (AI)-based segmentation model for mandibular fracture...

A multi-scale, circuit-to-gene signature of approach-bias modification in internet gaming disorder.

BACKGROUND: Approach-bias modification (ApBM) is a cognitive training intervention with potential therapeutic value for internet gaming disorder (IGD)...

Benchmarking of AI and Radiologists for Indeterminate Lung Nodule Malignancy Risk Estimation on Screening CT: The LUNA25 Challenge.

Purpose To compare the performance of an artificial intelligence (AI) system with that of radiologists for estimating malignancy risk of indeterminate...

Impact on Cost and Expert Time of Data-Efficient Deep Learning for Medical Image Segmentation.

Purpose To develop and systematically evaluate an iterative training approach, termed the expert-guided annotation loop, for efficient reference stand...

Pediatric radiology informatics within a larger academic practice.

As academic health systems increasingly consolidate with unified electronic health records (EHR), picture archiving and communication systems (PACS), ...

Real-World Generalizability of Alzheimer's Volumetric MRI Machine-Learning Models: External Validation with British Data.

PURPOSE: Assessing generalizability and performance of machine learning models in clinical settings is crucial. In this study, we aimed to test our mo...

Dual-domain radio-frequency signal and image joint modeling for coronary calcium detection in intravascular ultrasound.

Coronary artery disease remains a leading cause of mortality worldwide. Accurate detection and angular quantification of coronary calcification are im...

Right Ventricular Metrics as End Points in Clinical Trials: A Review.

IMPORTANCE: Clinical trials in cardiovascular medicine aim to deliver high-quality evidence with greater efficiency, including smaller sample sizes an...

Human donor liver viability evaluation with polarization-sensitive optical coherence tomography.

Human liver transplantation is constrained by a critical shortage of viable donor livers. In response to this shortage, marginal livers from extended ...

Stochastic Expansion of Radionuclide Inhalation Dosimetry for Consequence Management Application: Uncertainty and Sensitivity Analysis in the ICRP 130 Human Respiratory Tract Model.

Releases from nuclear or radiological security events can result in significant internal radiation contamination through inhalation of particulate con...

On the utility of ChatGPT in conducting a literature review on deep learning for dopamine transporter SPECT with [¹²³I]ioflupane.

AIM: This study evaluated ChatGPT (GPT-5.2) for drafting a review paper on deep learning in dopamine transporter (DAT)-SPECT with [¹²³I]ioflupane. MET...