Radiology

Ultrafast J-resolved magnetic resonance spectroscopic imaging for high-resolution metabolic brain imaging.

Magnetic resonance spectroscopic imaging has potential for non-invasive metabolic imaging of the human brain. Here we report a method that overcomes several long-standing technical barriers associated with clinical magnetic resonance spectroscopic imaging, including long data acquisition times, limited spatial coverage and poor spatial resolution. Our method achieves ultrafast data acquisition usi...

Efficient slice anomaly detection network for 3D brain MRI Volume.

Current anomaly detection methods excel with benchmark industrial data but struggle with natural images and medical data due to varying definitions of 'normal' and 'abnormal.' This makes accurate identification of deviations in these fields particularly challenging. Especially for 3D brain MRI data, all the state-of-the-art models are reconstruction-based with 3D convolutional neural networks whic...

Machine learning-based MRI radiomics predict IL18 expression and overall survival of low-grade glioma patients.

Interleukin-18 has broad immune regulatory functions. Genomic data and enhanced Magnetic Resonance Imaging data related to LGG patients were downloade...

Advancing atomic electron tomography with neural networks.

Accurate determination of three-dimensional (3D) atomic structures is crucial for understanding and controlling the properties of nanomaterials. Atomi...

Multi-domain information fusion diffusion model (MDIF-DM) for limited-angle computed tomography.

BackgroundLimited-angle Computed Tomography imaging suffers from severe artifacts in the reconstructed image due to incomplete projection data. Deep l...

Non-Invasive Diagnosis of Chronic Myocardial Infarction via Composite In-Silico-Human Data Learning.

Myocardial infarction (MI) continues to be a leading cause of death worldwide. The precise quantification of infarcted tissue is crucial to diagnosis,...

A Generative AI-Assisted Piezo-MEMS Ultrasound Device for Plant Dehydration Monitoring.

Plant health, closely tied to hydration, has a direct impact on agricultural productivity, making the monitoring of leaf water content essential. Curr...

Optimized YOLOv8 for enhanced breast tumor segmentation in ultrasound imaging.

Breast cancer significantly affects people's health globally, making early and accurate diagnosis vital. While ultrasound imaging is safe and non-inva...

Deep learning detects retropharyngeal edema on MRI in patients with acute neck infections.

BACKGROUND: In acute neck infections, magnetic resonance imaging (MRI) shows retropharyngeal edema (RPE), which is a prognostic imaging biomarker for ...

Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis.

BACKGROUND: Digital mental health tools promise to enhance the reach and quality of care. Current tools often recommend content to individuals, typica...

Artificial Intelligence Language Models to Translate Professional Radiology Mammography Reports Into Plain Language - Impact on Interpretability and Perception by Patients.

RATIONALE AND OBJECTIVES: This study aimed to evaluate the interpretability and patient perception of AI-translated mammography and sonography reports...

Causal inference in the diagnosis and prognosis of ovarian cancer: current state and future directions.

Ovarian cancer represents one of the most lethal gynecologic malignancies, characterized by low early detection rates and challenging prognostic asses...

Deep learning for differential diagnosis of parotid tumors based on 2.5D magnetic resonance imaging.

PURPOSE: Accurate preoperative diagnosis of parotid gland tumors (PGTs) is crucial for surgical planning since malignant tumors require more extensive...

Polarisation Sensitive Optical Coherence Tomography Image Characteristics for Gastrointestinal Tumours and Normal Tissues at Surgical Margins in Dogs.

The treatment of choice for canine alimentary tract neoplasms is surgical excision, but it can sometimes be difficult to achieve wide margins due to n...

Sex, stature, and age estimation from skull using computed tomography images: Current status, challenges, and future perspectives.

The skull has long been recognized and utilized in forensic investigations, evolving from basic to complex analyses with modern technologies. Advances...

Artificial Intelligence in Breast US Diagnosis and Report Generation.

Purpose To develop and evaluate an artificial intelligence (AI) system for generating breast ultrasound (BUS) reports. Materials and Methods This ret...

RadioRAG: Online Retrieval-augmented Generation for Radiology Question Answering.

Purpose To evaluate diagnostic accuracy of various large language models (LLMs) when answering radiology-specific questions with and without access t...

Automated Multi-grade Brain Tumor Classification Using Adaptive Hierarchical Optimized Horse Herd BiLSTM Fusion Network in MRI Images.

Brain tumor classification using Magnetic Resonance Imaging (MRI) images is an important and emerging field of medical imaging and artificial intellig...

Chemical imaging for biological systems: techniques, AI-driven processing, and applications.

Visualizing the chemical compositions of biological samples is pivotal to advancing biological sciences, with the past two decades witnessing the emer...

Emerging Trends in Point-of-Care Technology Development for Oncology in Low- and Middle-Income Countries.

The growing cancer burden and suboptimal diagnostic capacity in low- and middle-income countries calls for urgent innovation in diagnostic solutions. ...