Radiology

Model Based on Ultrasound Radiomics and Machine Learning for Differentiating Uterine Fibroids and Adenomyomas.

OBJECTIVES: To evaluate the value of radiomics based on ultrasound in differentiating uterine fibroi...

Diagnostic accuracy of artificial intelligence-assisted infant hip ultrasound interpretation for developmental dysplasia of the hip: systematic review and meta-analysis.

BACKGROUND: Ultrasound is the standard imaging test for infant developmental dysplasia of the hip (D...

Plaque-level machine-learning prediction of carotid plaque vulnerability on computed tomography angiography.

Intraindividual comparison of 3-T and 5-T gadoxetic acid-enhanced MRI for evaluating HCC: initial findings.

BACKGROUND: We aimed to evaluate the utility of 5-T Gadolinium-ethoxybenzyl diethylenetriaminepentaa...

Ultrasound Radiomics for Hashimoto's Thyroiditis: State of the Art and Future Perspectives.

Ultrasound radiomics is gradually emerging as a powerful tool for improving the diagnosis and manage...

Radiomics-based feature exploration and auxiliary diagnostic model construction for gaming disorder.

Subjective biases in current clinical assessments create an urgent need for objective biomarkers in ...

Artificial intelligence augmented imaging of pancreatic fluid collections in acute pancreatitis.

Acute pancreatitis (AP) is a significant global health burden, with pancreatic fluid collections (PF...

Applying machine learning and natural language processing to patient safety event reports: Identifying patterns of cardiovascular diagnostic errors.

OBJECTIVE: To explore the utility of natural language processing (NLP) and machine learning (ML) tec...

Brain ventricle morphology markers in predicting shunt surgery outcome in idiopathic normal-pressure hydrocephalus.

BACKGROUND: Idiopathic normal pressure hydrocephalus (iNPH) is characterized by a clinical triad of ...

Self-enhancement-based perfusion mapping with contrast-enhanced magnetic resonance imaging for PAD assessment.

We developed an automatic self-enhancement-based perfusion mapping (SEPM) method to relatively map t...

Artificial intelligence-based multi-modal multi-tasks analysis of thyroid ultrasound image features predicts thyroid cancer: a multicenter study.

Thyroid nodule ultrasound (US) images and their features are of great importance in thyroid nodule d...

Can an artificial intelligence electrocardiogram algorithm improve diagnostic accuracy for acute coronary occlusion in the difficult subset of canceled catheterization lab activations?

BACKGROUND: ST-segment elevation myocardial infarction (STEMI) and its equivalents describe the elec...

AI unleashed: A meta-analysis transforming radiological insights in diagnosing abdominal infections.

INTRODUCTION: Artificial intelligence (AI)-based imaging modalities are next-generation diagnostic d...

Vessel Wall Imaging at 7T: State of the Art.

Intracranial vessel wall imaging (VWI) has emerged as a critical tool in neurovascular diagnostics, ...

Machine learning-based radiomics analysis of PET imaging for early prediction of concurrent chemoradiotherapy response in stage II-III cervical squamous cell carcinoma.

BACKGROUND: Cervical squamous cell carcinoma is a major global health burden, with many patients pre...

PET-CT radiomics and artificial intelligence for predicting lymph node metastasis in cervical cancer: a systematic review and meta-analysis.

PURPOSE: Preoperative identification of lymph node metastasis (LNM) in cervical cancer is crucial fo...

Performance of Deep Learning Reconstruction for Detection of Early Ischemic Changes in NCCT: Comparison with ASIR-V in Acute Stroke.

PURPOSE: Evaluation of the impact of Deep Learning Image Reconstruction (DLIR) compared to Adaptive ...

Medical Spine Sagittal MRI Dataset for Segmentation and Foraminal Stenosis detection.

Lumbar spine disorders represent one of the most prevalent musculoskeletal conditions worldwide, par...

Non-invasive endometriosis staging prediction using integrated radiomics and spatiotemporal transformer model based on dynamic contrast-enhanced MRI.

Precise staging of endometriosis remains a clinical challenge, as current diagnosis depends almost e...

Preoperative MRI-Derived Navigation Reduces Radiation Exposure in Pediatric Spinal Fusion.

BACKGROUND: Minimizing radiation exposure during pediatric spinal deformity correction is critical d...

Early Prediction of Heart Failure From Routine Cardiac CT Using Radiomic Phenotyping of Epicardial Fat.

BACKGROUND: Epicardial adipose tissue (EAT) is a metabolically active visceral fat depot that is bot...