Latest AI and machine learning research in radiology for healthcare professionals.
Artificial intelligence (AI) tools, particularly generative models, are increasingly used to depict...
Metastatic tumors of the head and neck (MTHN) typically indicate advanced disease with a poor progno...
This study aimed to develop and validate a multimodal deep learning model that leverages 2D grayscal...
Effective and automated measurement of coronary lesions is essential for timely decision-making duri...
Early detection through screening is critical for reducing gastric cancer (GC) mortality. However, i...
OBJECTIVE: Ultrasound shear strain is a potential biomarker of myofascial dysfunction. However, the ...
PURPOSE: This study aimed to develop a deep learning (DL) model based on three-dimensional multi-par...
Magnetic resonance imaging (MRI) is time-consuming, posing challenges in capturing clear images of m...
PURPOSE: The International Society of Urological Pathology (ISUP) grading of prostate cancer (PCa) i...
INTRODUCTION: Hip fractures are a major orthopedic problem, especially in the elderly population. Hi...
No robust biomarkers have been identified to predict the efficacy of programmed cell death protein ...
RATIONALE AND OBJECTIVES: To explore the value of machine learning models based on MRI radiomics and...
BACKGROUND: Accurate and efficient classification of brain tumors, including gliomas, meningiomas, a...
Incidental pulmonary nodules are very frequently found on CT imaging and may represent (early stage)...
BackgroundPrevious studies have suggested that early-phase imaging of amyloid positron emission tomo...
BackgroundManual data curation was necessary to extract radiology reports due to the ambiguities of ...
PURPOSE: The long-term objective of the Ablation-IMaging and Advanced Guidance for workflow optimiza...
Functional brain network (FBN) derived from functional Magnetic Resonance Imaging (fMRI) has promisi...
OBJECTIVE: To investigate the clinical value of deep learning reconstruction (DLR) in accelerated ma...
AIM: This study aimed to develop and validate a deep learning radiomics nomogram (DLRN) derived from...
OBJECTIVES: This study aimed to evaluate the ability of ChatGPT and Breast Ultrasound Helper, a spec...