Latest AI and machine learning research in radiology for healthcare professionals.
This retrospective study evaluates U-Net-based artifact reduction for dose-reduced sparse-sampling C...
Volumetric estimation of affected brain volumes using computed tomography perfusion (CTP) is crucial...
OBJECTIVES: To determine whether deep learning (DL)-based image quality (IQ) assessment of T2-weight...
Stroke poses a significant health challenge, with ischemic and hemorrhagic subtypes requiring timely...
Alzheimer's disease (AD) is a progressive neurodegenerative disorder with increasing prevalence amon...
PURPOSE: To compare PET-derived metrics between digital and analogue PET/CT in hyperparathyroidism, ...
PURPOSE: Accurate non-invasive prediction of histopathologic invasiveness and recurrence risk remain...
OBJECTIVES: Preoperative assessment of World Health Organization (WHO) meningioma grading and Ki-67 ...
INTRODUCTION: Since the 2000s, artificial intelligence (AI) publications in medicine have surged, pa...
OBJECTIVES: To develop and validate a deep learning model for automated detection of advanced liver ...
BACKGROUND AND OBJECTIVES: Bone metastases, affecting more than 4.8% of patients with cancer annuall...
The segmentation of brain tumor magnetic resonance imaging (MRI) plays a crucial role in assisting d...
This study investigated radiologists' perceptions of AI-generated, patient-friendly radiology report...
PURPOSE: The aim of this study was to develop a radiomic model to non-invasively predict the risk of...
BACKGROUND: This study aimed to develop and validate a hybrid deep learning (DL) model that integrat...
BACKGROUND: Over the past three decades, there has been a significant increase in the incidence of t...
PURPOSE: In pelvic MRI, Turbo Spin Echo (TSE) pulse sequences are used for T2-weighted imaging. Howe...
Accurate and early diagnosis of Alzheimer's Disease (AD) is crucial for timely interventions and tre...
OBJECTIVES/BACKGROUND: This study utilized a nitroglycerin (NTG)-induced chronic migraine rat model ...
Coronary CT angiography is widely implemented, with an estimated 2.2 million procedures in patients ...
OBJECTIVES: This study compares the U-Net and You Only Look Once version 8 (YOLOv8) models for ident...