Radiology

Influence of high-performance image-to-image translation networks on clinical visual assessment and outcome prediction: utilizing ultrasound to MRI translation in prostate cancer.

PURPOSE: Image-to-image (I2I) translation networks have emerged as promising tools for generating sy...

2.5D Deep Learning-Based Prediction of Pathological Grading of Clear Cell Renal Cell Carcinoma Using Contrast-Enhanced CT: A Multicenter Study.

RATIONALE AND OBJECTIVES: To develop and validate a deep learning model based on arterial phase-enha...

Artificial intelligence-based models for quantification of intra-pancreatic fat deposition and their clinical relevance: a systematic review of imaging studies.

High intra-pancreatic fat deposition (IPFD) plays an important role in diseases of the pancreas. The...

Emerging Role of MRI-Based Artificial Intelligence in Individualized Treatment Strategies for Hepatocellular Carcinoma: A Narrative Review.

Hepatocellular carcinoma (HCC) is the most common subtype of primary liver cancer, with significant ...

`Probabilistic Ensemble Learning for Prediction of Stroke Thrombectomy Outcomes from the NeuroVascular Quality Initiative - Quality Outcomes Database (NVQI-QOD) Registry.

INTRODUCTION: Mechanical Thrombectomy (MT) is the standard of care in the interventional management ...

Artificial Intelligence for Tumor [F]FDG PET Imaging: Advancements and Future Trends - Part II.

The integration of artificial intelligence (AI) into [F]FDG PET/CT imaging continues to expand, offe...

CT derived fractional flow reserve: Part 1 - Comprehensive review of methodologies.

Advancements in cardiac computed tomography angiography (CCTA) have enabled the extraction of physio...

Enhanced Image Quality and Comparable Diagnostic Performance of Prostate Fast Bi-MRI with Deep Learning Reconstruction.

RATIONAL AND OBJECTIVES: To evaluate image quality and diagnostic performance of prostate biparametr...

Learners' perspective on the inclusion of gamification and advanced technology as teaching methods in undergraduate pharmacy curriculum: A one-arm post-interventional assessment.

BACKGROUND: Gamification involves applying game design elements to non-game contexts. Pharmacy stude...

Deep learning-based ultrasound diagnostic model for follicular thyroid carcinoma.

OBJECTIVES: It is challenging to preoperatively diagnose follicular thyroid carcinoma (FTC) on ultra...

Innovations in clinical PET image reconstruction: advances in Bayesian penalized likelihood algorithm and deep learning.

Recent advances in PET image reconstruction have focused on achieving high image quality and quantit...

Machine learning framework for oxytetracycline removal using nanostructured cupric oxide supported on magnetic chitosan alginate biocomposite.

This research proposes a machine learning controlled method for removing the antibiotic oxytetracycl...

Real-time color flow mapping of ultrasound microrobots.

Visualization and tracking of microrobots in real time pose key challenges for surgical microrobotic...

AI Prognostication in Nonsmall Cell Lung Cancer: A Systematic Review.

The systematic literature review was performed on the use of artificial intelligence (AI) algorithms...

Diagnostic Performance of Artificial Intelligence in Detecting and Distinguishing Pancreatic Ductal Adenocarcinoma via Computed Tomography: A Systematic Review and Meta-Analysis.

We conducted a systematic review and meta-analysis in diagnostic performance of studies that tried t...

Deep learning reconstruction enhances image quality in contrast-enhanced CT venography for deep vein thrombosis.

PURPOSE: This study aimed to evaluate and compare the diagnostic performance and image quality of de...

Deep learning reconstruction for improving image quality of pediatric abdomen MRI using a 3D T1 fast spoiled gradient echo acquisition.

BACKGROUND: Deep learning (DL) reconstructions have shown utility for improving image quality of abd...

Investigating brain tumor classification using MRI: a scientometric analysis of selected articles from 2015 to 2024.

BACKGROUND: Magnetic resonance imaging (MRI) is a non-invasive method widely used to evaluate abnorm...

Clinical Translation of Integrated PET-MRI for Neurodegenerative Disease.

The prevalence of Alzheimer's disease and other dementias is increasing as populations live longer l...

Commentary on "Portable Ultrasound Bladder Volume Measurement Over Entire Volume Range Using a Deep Learning Artificial Intelligence Model in a Selected Cohort: A Proof of Principle Study".

Commercialization of medical artificial intelligence technologies: challenges and opportunities.

Artificial intelligence (AI) is already having a significant impact on healthcare. For example, AI-g...