Radiology

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

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A nomogram based on ultrasound radiomics for predicting the invasiveness of cN0 single papillary thyroid microcarcinoma.

BACKGROUND: Up to 15.3% of papillary thyroid microcarcinoma (PTMC) patients with negative clinical l...

Dec 2023 38229850
Mammography Compliance for Arizona and New Mexico Hispanic and American Indian Women 2016-2018.

Hispanic and American Indian (AI) women experience lower breast cancer incidence than non-Hispanic W...

Dec 2023 38248484
Deep learning for [F]fluorodeoxyglucose-PET-CT classification in patients with lymphoma: a dual-centre retrospective analysis.

BACKGROUND: The rising global cancer burden has led to an increasing demand for imaging tests such a...

Dec 2023 38135556
CAD-RADS scoring of coronary CT angiography with Multi-Axis Vision Transformer: A clinically-inspired deep learning pipeline.

BACKGROUND AND OBJECTIVE: The standard non-invasive imaging technique used to assess the severity an...

Dec 2023 38141455
Exploring the potential of Physics-Informed Neural Networks to extract vascularization data from DCE-MRI in the presence of diffusion.

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is widely used to assess tissue vascu...

Dec 2023 38365330
Assessing ChatGPT's Proficiency in Simplifying Radiological Reports for Healthcare Professionals and Patients.

Background Clear communication of radiological findings is crucial for effective healthcare decision...

Dec 2023 38249202
Preterm Birth: Screening and Prediction.

Preterm birth (PTB) affects approximately 10% of births globally each year and is the most significa...

Dec 2023 38146587
Artificial intelligence for triaging of breast cancer screening mammograms and workload reduction: A meta-analysis of a deep learning software.

OBJECTIVE: Deep learning (DL) has shown promising results for improving mammographic breast cancer d...

Dec 2023 38115810
MRI/RNA-Seq-Based Radiogenomics and Artificial Intelligence for More Accurate Staging of Muscle-Invasive Bladder Cancer.

Accurate staging of bladder cancer assists in identifying optimal treatment (e.g., transurethral res...

Dec 2023 38203254
Real-time carotid plaque recognition from dynamic ultrasound videos based on artificial neural network.

PURPOSE: Carotid ultrasound allows noninvasive assessment of vascular anatomy and function with real...

Dec 2023 38113893
Robot-Assisted Minimally Invasive Multivessel Coronary Bypass Guided by Computerized Tomography.

OBJECTIVE: Robot-assisted minimally invasive coronary bypass surgery is one of the least invasive ap...

Dec 2023 38111997
A Deep Learning Model for Detecting Rhegmatogenous Retinal Detachment Using Ophthalmologic Ultrasound Images.

INTRODUCTION: Rhegmatogenous retinal detachment (RRD) is one of the most common fundus diseases. Man...

Dec 2023 38113861
Clinical evaluation of a deep-learning model for automatic scoring of the Alberta stroke program early CT score on non-contrast CT.

BACKGROUND: Automated measurement of the Alberta Stroke Program Early Computed Tomography Score (ASP...

Dec 2023 37015781
A new convolutional neural network based on combination of circlets and wavelets for macular OCT classification.

Artificial intelligence (AI) algorithms, encompassing machine learning and deep learning, can assist...

Dec 2023 38114582
Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning.

Developing robust artificial intelligence (AI) models that generalize well to unseen datasets is cha...

Dec 2023 38114729
Feasibility and acceptability of ChatGPT generated radiology report summaries for cancer patients.

OBJECTIVE: Patients now have direct access to their radiology reports, which can include complex ter...

Dec 2023 38130802
Deep-learning models for differentiation of xanthogranulomatous cholecystitis and gallbladder cancer on ultrasound.

BACKGROUND: The radiological differentiation of xanthogranulomatous cholecystitis (XGC) and gallblad...

Dec 2023 38110782
Semiautomatic Assessment of Facet Tropism From Lumbar Spine MRI Using Deep Learning: A Northern Finland Birth Cohort Study.

STUDY DESIGN: This is a retrospective, cross-sectional, population-based study that automatically me...

Dec 2023 38105615
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