Radiology

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

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Discriminating Clear Cell From Non-Clear Cell Renal Cell Carcinoma: A Machine Learning Approach Using Contrast-enhanced Ultrasound Radiomics.

OBJECTIVE: The aim of this investigation is to assess the clinical usefulness of a machine learning ...

May 2025 40450509
Selection, visualization, and explanation of deep features from resting-state fMRI for Alzheimer's disease diagnosis.

Despite the remarkable achievements of deep learning networks in analyzing neuroimaging data for var...

May 2025 40494176
Explainable Artificial Intelligence in Radiological Cardiovascular Imaging-A Systematic Review.

Artificial intelligence (AI) and deep learning are increasingly applied in cardiovascular imaging. ...

May 2025 40506971
Optimizing Attenuation Correction in Ga-PSMA PET Imaging Using Deep Learning and Artifact-Free Dataset Refinement.

Attenuation correction (AC) is essential for achieving quantitatively accurate PET imaging. In Ga-P...

May 2025 40506972
Efficacy of rTMS on SCZ symptoms: Insights from connectome mapping.

Repetitive transcranial magnetic stimulation (rTMS) is a potential treatment for schizophrenia (SCZ)...

May 2025 40516316
Automated labeling using tracked ultrasound imaging: Application in tracking vertebrae during spine surgery.

PURPOSE: Recent advancements in machine learning (ML) allow for rapid analysis of complex image data...

May 2025 40516484
One-Drop Serum Screening Test to Monitor Tissue Iron Accumulation.

Although iron is an essential element for vital body functions, iron overload (IO) is accompanied by...

May 2025 40446114
The value of artificial intelligence in PSMA PET: a pathway to improved efficiency and results.

INTRODUCTION: This systematic review investigates the potential of artificial intelligence (AI) in i...

May 2025 40444499
End-to-end 2D/3D registration from pre-operative MRI to intra-operative fluoroscopy for orthopedic procedures.

PURPOSE: Soft tissue pathologies and bone defects are not easily visible in intra-operative fluorosc...

May 2025 40445552
Phantom-Based Ultrasound-ECG Deep Learning Framework for Prospective Cardiac Computed Tomography.

OBJECTIVE: We present the first multimodal deep learning framework combining ultrasound (US) and ele...

May 2025 40445820
Quantitative benchmarking of nuclear segmentation algorithms in multiplexed immunofluorescence imaging for translational studies.

Multiplexed imaging techniques require identifying different cell types in the tissue. To utilize th...

May 2025 40447729
Machine learning-based hemodynamics quantitative assessment of pulmonary circulation using computed tomographic pulmonary angiography.

BACKGROUND: Pulmonary hypertension (pH) is a malignant pulmonary circulation disease. Right heart ca...

May 2025 40451400
Using Deep learning to Predict Cardiovascular Magnetic Resonance Findings from Echocardiography Videos.

BACKGROUND: Echocardiography is the most common modality for assessing cardiac structure and functio...

May 2025 40451472
Strategies for Treatment De-escalation in Metastatic Renal Cell Carcinoma.

Immune checkpoint inhibitors (ICIs) and targeted therapies have revolutionized the management of met...

May 2025 40450502
Developing an ML-Based Pretest Probability Model of Obstructive CAD in Patients With Stable Chest Pain.

BACKGROUND: Updated pretest probability models (ESC2019, the PTP model supported by the European Soc...

May 2025 40498432
Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs.

Distinguishing high-risk intraductal papillary mucinous neoplasms (IPMNs), pancreatic cysts requirin...

May 2025 40502758
A Hybrid Model of Feature Extraction and Dimensionality Reduction Using ViT, PCA, and Random Forest for Multi-Classification of Brain Cancer.

The brain serves as the central command center for the nervous system in the human body and is made...

May 2025 40506964
18F-FDG PET/CT Radiomics for Predicting Therapy Response in Primary Mediastinal B-Cell Lymphoma: A Bi-Centric Pilot Study.

PURPOSE: This bi-centric pilot study investigates the predictive value of pre-treatment [F]FDG PET/C...

May 2025 40507310
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