Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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Advancing atomic electron tomography with neural networks.

Accurate determination of three-dimensional (3D) atomic structures is crucial for understanding and ...

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 I...

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 plan...

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 emergin...

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

Purpose To evaluate diagnostic accuracy of various large language models (LLMs) when answering radi...

Artificial Intelligence in Breast US Diagnosis and Report Generation.

Purpose To develop and evaluate an artificial intelligence (AI) system for generating breast ultras...

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 c...

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 somet...

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

Visualizing the chemical compositions of biological samples is pivotal to advancing biological scien...

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 cal...

The Missing Link: Integrating Interventional Pain Management in the Era of Multimodal Oncology.

Cancer-related pain (CrP) is one of the most frequent and debilitating issues that affect the qualit...

A Robust Residual Three-dimensional Convolutional Neural Networks Model for Prediction of Amyloid-β Positivity by Using FDG-PET.

BACKGROUND: Widely used in oncology PET, 2-deoxy-2- 18 F-FDG PET is more accessible and affordable t...

Quasi-supervised MR-CT image conversion based on unpaired data.

. In radiotherapy planning, acquiring both magnetic resonance (MR) and computed tomography (CT) imag...

High-definition motion-resolved MRI using 3D radial kooshball acquisition and deep learning spatial-temporal 4D reconstruction.

To develop motion-resolved volumetric MRI with 1.1 mm isotropic resolution and scan times <5 min usi...

AN INNOVATIVE MACHINE LEARNING-BASED ALGORITHM FOR DIAGNOSING PEDIATRIC OVARIAN TORSION.

AIM: We aimed to develop a machine-learning(ML) algorithm consisting of physical examination, sonogr...

Multimodal personalization of transcranial direct current stimulation for modulation of sensorimotor integration.

Transcranial direct current stimulation (tDCS) for the modulation of smooth pursuit eye movements pr...

Whole-lesion-aware network based on freehand ultrasound video for breast cancer assessment: a prospective multicenter study.

BACKGROUND: The clinical application of artificial intelligence (AI) models based on breast ultrasou...

Identifying Clinical Research Priorities in Interventional Pulmonary: An Interventional Pulmonology Outcomes Group (IPOG) Working Group Report.

The field of Interventional Pulmonology suffers from a paucity of methodologically robust studies to...

A Semi-supervised Ultrasound Image Segmentation Network Integrating Enhanced Mask Learning and Dynamic Temperature-controlled Self-distillation.

Ultrasound imaging is widely used in clinical practice due to its advantages of no radiation and rea...

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