Latest AI and machine learning research in radiology for healthcare professionals.
OBJECTIVE: This study aimed to develop and validate a nomogram combining F-FDG PET radiomics and cli...
PURPOSE: Accurate internal target volume (ITV) estimation is essential for effective and safe radiat...
This paper introduces a novel convolutional neural network model with an attention mechanism to adva...
The advent of sophisticated image analysis techniques has facilitated the extraction of increasingly...
We propose a guided registration method for spatially aligning a fixed preoperative image and untrac...
BACKGROUND: Schizophrenia (SCH) is a complex neurodevelopmental disorder, whose pathogenesis is not ...
PURPOSE: To explore the development and validation of automated machine learning (AutoML) models for...
The kidney plays a vital role in maintaining homeostasis, but lifestyle factors and diseases can lea...
BACKGROUND: Distinguishing between benign and malignant testicular lesions on clinical magnetic reso...
The aim of this study was to evaluate the quality of manual segmentation of cerebral infarction lesi...
BACKGROUND CONTEXT: Lumbar foraminal stenosis (LFS) is a common spinal condition that requires accur...
INTRODUCTION: A hybrid angio-CT system with 320-row detectors and deep learning-based reconstruction...
Foundation artificial intelligence (AI) models are capable of complex tasks that involve text, medic...
Cone beam computed tomography (CBCT) has become an essential tool in head and neck cancer (HNC) radi...
Magnetic fields enable remote manipulation of objects and are ideal for medical applications because...
BACKGROUND: We investigated inflammation-induced changes in femoral hematopoietic bone marrow using ...
BACKGROUND AND PURPOSE: Accurate segmentation of brain metastases on Magnetic Resonance Imaging (MRI...
Lung cancer, with its high mortality rate, is one of the deadliest diseases globally. The alarming i...
Alzheimer's disease (AD) is a primary degenerative brain disorder commonly found in the elderly, Mil...
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) ...