Radiology

A deep learning model for early diagnosis of alzheimer's disease combined with 3D CNN and video Swin transformer.

Alzheimer's disease (AD) constitutes a neurodegenerative disorder predominantly observed in the geri...

Clinical value of the 70-kVp ultra-low-dose CT pulmonary angiography with deep learning image reconstruction.

OBJECTIVE: This study aims to assess the feasibility of "double-low," low radiation dosage and low c...

Multimodal AI to forecast arrhythmic death in hypertrophic cardiomyopathy.

Sudden cardiac death from ventricular arrhythmias is a leading cause of mortality worldwide. Arrhyth...

Multimodal nomogram integrating deep learning radiomics and hemodynamic parameters for early prediction of post-craniotomy intracranial hypertension.

To evaluate the effectiveness of deep learning radiomics nomogram in distinguishing early intracrani...

Generative artificial intelligence for fundus fluorescein angiography interpretation and human expert evaluation.

Fundus fluorescein angiography (FFA) is the gold standard for diagnosing chorioretinal diseases, but...

Robust Multi-contrast MRI Medical Image Translation via Knowledge Distillation and Adversarial Attack.

Medical image translation is of great value but is very difficult due to the requirement with style ...

User Trust in Artificial Intelligence-Guided Lung Ultrasound-Reply.

User Trust in Artificial Intelligence-Guided Lung Ultrasound.

Heterogeneity Habitats -Derived Radiomics of Gd-EOB-DTPA Enhanced MRI for Predicting Proliferation of Hepatocellular Carcinoma.

OBJECTIVE: To construct and validate the optimal model for preoperative prediction of proliferative ...

Habitat-Derived Radiomic Features of Planning Target Volume to Determine the Local Recurrence After Radiotherapy in Patients with Gliomas: A Feasibility Study.

To develop a machine learning-based predictive model for local recurrence after radiotherapy in pati...

Diagnostic performance of artificial intelligence based on contrast-enhanced computed tomography in pancreatic ductal adenocarcinoma: a systematic review and meta-analysis.

PURPOSE: This meta-analysis systematically evaluated the diagnostic performance of artificial intell...

Differential Phase Contrast Imaging to Predict MSC Immune Function.

Mesenchymal stromal cells (MSCs) exhibit significant immunomodulatory potential, making them promisi...

Clinical validation of AI assisted animal ultrasound models for diagnosis of early liver trauma.

The study aimed to develop an AI-assisted ultrasound model for early liver trauma identification, us...

Combining multi-parametric MRI radiomics features with tumor abnormal protein to construct a machine learning-based predictive model for prostate cancer.

This study aims to investigate the diagnostic value of integrating multi-parametric magnetic resonan...

Deep learning strategies for semantic segmentation of pediatric brain tumors in multiparametric MRI.

Automated segmentation of pediatric brain tumors (PBTs) can support precise diagnosis and treatment ...

Optimizing a hybrid process of electrolysis ultrasound and persulfate for remediation of petroleum contaminated soils using AI models.

Research uses both RANSAC Regressor and Monte Carlo Optimization to improve the performance of elect...

A novel neuroimaging based early detection framework for alzheimer disease using deep learning.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly impacts cogn...

Multi channel fusion diffusion models for brain tumor MRI data augmentation.

The early diagnosis of brain tumors is crucial for patient prognosis, and medical imaging techniques...

Classifying and diagnosing Alzheimer's disease with deep learning using 6735 brain MRI images.

Traditional diagnostic methods for Alzheimer's disease often suffer from low accuracy and lengthy pr...

Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging.

Early diagnosis of Neurological Disorders (ND) such as Alzheimer's disease (AD) and Brain Tumors (BT...

Automated grading of rectocele with an MRI radiomics model.

To develop an automated grading model for rectocele (RC) based on radiomics and evaluate its efficac...