Radiology

Machine Learning-Assisted Screening of High-Entropy Sub-1 nm Nanowires for Ultrasound-Augmented Pancatalytic Tumor Therapy.

The rational design of catalytic nanomaterials, particularly high-entropy alloy (HEA) nanomaterials with their unique structures, is crucial for advancing pancatalytic therapy and holds promise for catalytic biomedical applications. Nevertheless, conventional trial-and-error approaches to HEA development persist in being inefficient and resource-demanding, underscoring the critical need for data-d...

Predicting the magnitude of risk for non-curative endoscopic submucosal dissection in superficial esophageal cancer using explainable artificial intelligence.

BACKGROUND: Endoscopic submucosal dissection (ESD) serves as a critical treatment modality for superficial esophageal cancer. However, non-curative resection is significantly associated with residual tumors and unfavorable prognosis. Effective preoperative predictive tools are currently lacking. AIM: To develop and validate a machine learning-based prediction model for accurate preoperative assess...

Deep learning in lower gastrointestinal cancer detection: Advances in endoscopic, radiologic, and histopathologic diagnostics.

Gastrointestinal (GI) cancers, particularly colorectal cancer, continue to be a major contributor to global cancer-related morbidity and mortality. De...

Radiomics-based model for predicting neoadjuvant therapy response in esophageal cancer: Limitations and suggestions.

A core challenge in the diagnosis and treatment of esophageal cancer (EC) lies in accurately identifying patients who will benefit from neoadjuvant th...

Application value of multiphase contrast-enhanced computed tomography radiomics in preoperative evaluation of peritoneal metastasis in gastric cancer.

BACKGROUND: Peritoneal metastasis occurs in 10%-45% of gastric cancer patients and significantly impacts prognosis and treatment decisions. Traditiona...

Pioneering efficient deep learning architectures for enhanced hepatocellular carcinoma prediction and clinical translation.

BACKGROUND: Hepatocellular carcinoma (HCC) is a major cause of cancer-related mortality worldwide and is often diagnosed at advanced stages, reducing ...

Use of smart glasses for ultrasound-guided radial arterial catheterisation in obese patients: study protocol for a single-centre randomised clinical trial in China.

INTRODUCTION: Ultrasound guidance improves the success rate and efficiency of radial arterial catheterisation (RAC). However, the procedure remains mo...

Toward Timely Diagnosis of Pancreatic Cancer: Revolutionizing Early Detection Through Genomics, Artificial Intelligence, and Noninvasive Biomarkers.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most aggressive cancers, typically diagnosed at an advanced stage due to its su...

GAST-NET: A multi-modal and multi-task deep learning framework for preoperative prediction of perineural invasion and prognostic risk in gastric cancer.

BACKGROUND: Preoperative imaging prediction of perineural invasion in gastric cancer (GC-PNI) mainly relies on tumour characteristics and clinical var...

Multimodal hybrid mamba classification model for tumor pathological grade prediction using magnetic resonance images.

Malignant tumors present a significant global health challenge, and accurate pathological grading is essential for personalized treatment. Traditional...

Deep-learning based adaptive fusion of CC and MLO views for improved mammographic cancer diagnosis.

Breast cancer remains the most prevalent malignancy among women worldwide. The timely detection of this cancer type is critical for improving survival...

Automated Segmentation of Median Nerve Cross-Sectional Area in Healthy Controls and Patients With Carpal Tunnel Syndrome Using a Convolutional Neural Network.

INTRODUCTION/AIMS: The cross-sectional area (CSA) of the median nerve (MN) is a key parameter for confirming carpal tunnel syndrome (CTS) with ultraso...

Optical Coherence Tomography Radiomics and Machine Learning Enable Accurate Detection of Forme Fruste Keratoconus.

PURPOSE: To evaluate the diagnostic performance of a radiomics-based machine learning approach applied to corneal optical coherence tomography (OCT) i...

MRI-based Radiomics and volumetrics for predicting the onset of Alzheimer's Disease with explainable machine learning.

The detection of Alzheimer's Disease (AD) using structural Magnetic Resonance Imaging (MRI) and Machine Learning (ML) often focuses on late-stage atro...

A multi-level segmentation-guided diffusion model for streak artifact reduction in routine non-contrast chest CT.

Streak artifacts in non-contrast computed tomography (NCCT) can obscure anatomical details and even confuse radiologic signs. Existing methods for art...

Machine learning-based heat flux estimation from high-speed video during saturated pool boiling over vertical tube.

Saturated pool boiling over vertical tube has significant importance in various practical applications specifically in the safety of nuclear power pla...

Interpretable habitat and peritumoral radiomics from multiparametric MRI for preoperative high-risk prostate cancer prediction: a multi-institutional study.

BACKGROUND: Current preoperative assessment faces limitations, including PI-RADS scoring subjectivity and diagnostic uncertainty in distinguishing hig...

Enhancing breast cancer diagnostics: Shape-aware angular feature learning for precision in breast cancer classification.

Breast cancer is a life-threatening disease that is very common among women in the world. The early and correct diagnosis is necessary to enhance the ...

Neuroprognostication via Radiomics and Machine Learning Following Neonatal Hypoxic-Ischemic Insult.

OBJECTIVE: To produce objective predictions of neurodevelopmental outcomes after perinatal hypoxic-ischemic insult for the full spectrum of severity o...

Structural photoreceptor evaluation in age-related macular degeneration. A comprehensive review of methods and clinical significance.

Age-related macular degeneration (AMD) is a disease that primarily affects the outer retina, with progressive photoreceptor degeneration and atrophy o...