Latest AI and machine learning research in radiology for healthcare professionals.
Continuous high-resolution imaging of the disease-mediating blood stages of the human malaria parasi...
Applying deep learning algorithms to mine ultrasound features of breast cancer and construct a machi...
INTRODUCTION: Meningioma is the most common brain tumor in adults. Magnetic resonance imaging (MRI) ...
The choice of imaging modalities is essential in sarcoma management, as different techniques provide...
For decades, electron microscopy has been the primary method to visualize ultrastructural details of...
PURPOSE: To measure the accuracy and cost of a proof-of-concept prompted large language model to rou...
BACKGROUND: To investigate the feasibility of detecting local recurrent nasopharyngeal carcinoma (rN...
Preoperative classification of brain tumors is critical to developing personalized treatment plans, ...
OBJECTIVE: The goal of this study was to compare the computed tomography angiography scans of the se...
Electrical Impedance Tomography (EIT) is an imaging modality used to reconstruct the internal conduc...
BACKGROUND: Neuralgia and other neuropathic pain are difficult to treat owing to their complicated e...
BACKGROUND: This study develops a deep learning-based automated lesion segmentation model for whole-...
Accurate segmentation of three-dimensional (3D) clinical medical images is critical for the diagnosi...
Contrast-enhanced magnetic resonance lymphography (CE-MRL) plays a crucial role in preoperative diag...
Infectious and inflammatory diseases represent a global challenge. Delayed diagnosis and treatment l...
BACKGROUND: We aim to predict outcomes of human papillomavirus (HPV)-associated oropharyngeal squamo...
OBJECTIVES: Duchenne muscular dystrophy (DMD) and Becker muscular dystrophy (BMD) present similar sy...
OBJECTIVES: This study aims to assess the accuracy of generative pre-trained transformer 4o (GPT-4o)...
OBJECTIVE: To validate high-frequency ultrasound as a valuable imaging modality in the assessment of...
Sparse-view Computed Tomography (CT) is an emerging protocol designed to reduce X-ray dose radiation...
Medical image registration plays a crucial role in medical imaging, with a wide range of clinical ap...