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Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 1555-1575 of 16,018 articles

Ultra-low-dose coronary CT angiography via super-resolution deep learning reconstruction: impact on image quality, coronary plaque, and stenosis analysis.

OBJECTIVES: To exploit the capability of super-resolution deep learning reconstruction (SR-DLR) to s...

Feb 2025 PMID: 39891682

Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging.

INTRODUCTION: Altered neurometabolism is an important pathological mechanism in many neurological di...

Feb 2025 PMID: 39894238

Practical X-ray gastric cancer diagnostic support using refined stochastic data augmentation and hard boundary box training.

Endoscopy is widely used to diagnose gastric cancer and has a high diagnostic performance, but it mu...

Feb 2025 PMID: 39919469

Artificial Intelligence in IR Thermal Imaging and Sensing for Medical Applications.

The state of the art in IR thermal imaging methods for applications in medical diagnostics is discus...

Feb 2025 PMID: 39943530

ChatGPT-4 Omni's superiority in answering multiple-choice oral radiology questions.

OBJECTIVES: This study evaluates and compares the performance of ChatGPT-3.5, ChatGPT-4 Omni (4o), G...

Feb 2025 PMID: 39893407

Statin use and longitudinal bone marrow lesion burden: analysis of knees without osteoarthritis from the Osteoarthritis Initiative study.

OBJECTIVES: Knee subchondral bone marrow lesions (BMLs) are one of the hallmark features of structur...

Jan 2025 PMID: 39890641

A continuous-action deep reinforcement learning-based agent for coronary artery centerline extraction in coronary CT angiography images.

The lumen centerline of the coronary artery allows vessel reconstruction used to detect stenoses and...

Jan 2025 PMID: 39888471

The Value of Artificial Intelligence in Prostate-Specific Membrane Antigen Positron Emission Tomography: An Update.

This review aims to provide an up-to-date overview of the utility of artificial intelligence (AI) in...

Jan 2025 PMID: 39893058

AI-based non-invasive imaging technologies for early autism spectrum disorder diagnosis: A short review and future directions.

Autism Spectrum Disorder (ASD) is a neurological condition, with recent statistics from the CDC indi...

Jan 2025 PMID: 39919468

Developing an interpretable machine learning model for diagnosing gout using clinical and ultrasound features.

OBJECTIVE: To develop a machine learning (ML) model using clinical data and ultrasound features for ...

Jan 2025 PMID: 39893823

A comparative study of statistical, radiomics, and deep learning feature extraction techniques for medical image classification in optical and radiological modalities.

Feature extraction in ML plays a crucial role in transforming raw data into a more meaningful and in...

Jan 2025 PMID: 39891957

Application of artificial intelligence to ultrasound imaging for benign gynecological disorders: systematic review.

OBJECTIVE: Although artificial intelligence (AI) is increasingly being applied to ultrasound imaging...

Jan 2025 PMID: 39888598

Integrating deep learning algorithms for forecasting evapotranspiration and assessing crop water stress in agricultural water management.

The increasing impacts of climate change on global agriculture necessitate the development of advanc...

Jan 2025 PMID: 39889430

A survey of obstetric ultrasound uses and priorities for artificial intelligence-assisted obstetric ultrasound in low- and middle-income countries.

Obstetric ultrasound (OBUS) is recommended as part of antenatal care for pregnant individuals worldw...

Jan 2025 PMID: 39890863

Self-supervised parametric map estimation for multiplexed PET with a deep image prior.

Multiplexed positron emission tomography (mPET) imaging allows simultaneous observation of physiolog...

Jan 2025 PMID: 39774095

Identifying abdominal aortic aneurysm size and presence using Natural Language Processing of radiology reports: a systematic review and meta-analysis.

BACKGROUND AND AIM: Prior investigations of the natural history of abdominal aortic aneurysms (AAAs)...

Jan 2025 PMID: 39883167

Browse Specialties

Ultra-low-dose coronary CT angiography via super-resolution deep learning reconstruction: impact on image quality, coronary plaque, and stenosis analysis.

Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging.

Practical X-ray gastric cancer diagnostic support using refined stochastic data augmentation and hard boundary box training.

Artificial Intelligence in IR Thermal Imaging and Sensing for Medical Applications.

ChatGPT-4 Omni's superiority in answering multiple-choice oral radiology questions.

Statin use and longitudinal bone marrow lesion burden: analysis of knees without osteoarthritis from the Osteoarthritis Initiative study.

A continuous-action deep reinforcement learning-based agent for coronary artery centerline extraction in coronary CT angiography images.

The Value of Artificial Intelligence in Prostate-Specific Membrane Antigen Positron Emission Tomography: An Update.

AI-based non-invasive imaging technologies for early autism spectrum disorder diagnosis: A short review and future directions.

Developing an interpretable machine learning model for diagnosing gout using clinical and ultrasound features.

A comparative study of statistical, radiomics, and deep learning feature extraction techniques for medical image classification in optical and radiological modalities.

Application of artificial intelligence to ultrasound imaging for benign gynecological disorders: systematic review.

Integrating deep learning algorithms for forecasting evapotranspiration and assessing crop water stress in agricultural water management.

A survey of obstetric ultrasound uses and priorities for artificial intelligence-assisted obstetric ultrasound in low- and middle-income countries.

Self-supervised parametric map estimation for multiplexed PET with a deep image prior.

Identifying abdominal aortic aneurysm size and presence using Natural Language Processing of radiology reports: a systematic review and meta-analysis.

Multiparametric MRI-based machine learning system of molecular subgroups and prognosis in medulloblastoma.

BCT-Net: semantic-guided breast cancer segmentation on BUS.

JotlasNet: Joint tensor low-rank and attention-based sparse unrolling network for accelerating dynamic MRI.

Hybrid transformer-based model for mammogram classification by integrating prior and current images.

Multimodal Cross Global Learnable Attention Network for MR images denoising with arbitrary modal missing.

Browse Specialties