Latest AI and machine learning research in radiology for healthcare professionals.
PURPOSE: To assess the impact of a commercially available computed tomography (CT)-based artificial ...
OBJECTIVE: To evaluate the generalizability of a computer-aided diagnosis (CADx) system based on the...
Parkinson's disease (PD) is a multifactorial, progressive neurodegenerative disease that has a profo...
Developmental dysplasia of the hip (DDH) includes a range of conditions caused by inadequate hip joi...
BACKGROUND: Fungal diseases are among the most significant threats to global crop production, often ...
Acute Respiratory Distress Syndrome (ARDS) is a life-threatening condition characterized by acute on...
Understanding the process of fibrotic scarring of the myocardium is critical for the diagnosis and r...
This study presents a novel data augmentation approach to improve deep learning (DL)-based segmentat...
INTRODUCTION: The aim of this study was to evaluate human inter-reader agreement of parameters inclu...
Plastic waste, particularly polyethylene terephthalate (PET), presents significant environmental cha...
BACKGROUND: Multiple Sclerosis (MS) is a chronic neurological disorder affecting millions worldwide....
Artificial intelligence (AI) has demonstrated remarkable potential in transforming medical diagnosti...
In magnetic resonance imaging (MRI), variations in scan parameters and scanner specifications can re...
Although most odontogenic lesions in the jaw are benign, treatment varies widely depending on the na...
RATIONALE AND OBJECTIVES: Hyperpolarized Xenon magnetic resonance imaging (MRI) measures the extent ...
BACKGROUND: The cytologic diagnosis of thyroid nodules' benign and malignant nature based on cytolog...
BACKGROUND: In many low- and middle-income countries (LMICs), widespread access to obstetric ultraso...
BACKGROUND: To evaluate the performance of deep learning models in classifying parotid gland tumors ...
OBJECTIVE: To develop a multi-modality machine learning-based radiomics model utilizing Magnetic Res...
Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) are essential clinical cross-sectional...
Brain tumours (BTs) are severe neurological disorders. They affect more than 308,000 people each yea...