Latest AI and machine learning research in radiology for healthcare professionals.
This study was aimed at exploring the diagnostic value of high-frequency ultrasound imaging based on...
BACKGROUND AND OBJECTIVE: Prostate cancer is the most common cancer of the male reproductive system....
PURPOSE: To evaluate stability and machine learning-based classification performance of radiomic fea...
The discovery of causal structures behind a phenomenon under investigation has been at the heart of ...
Pneumothorax is a common injury in disaster rescue, traffic accidents, and war trauma environments a...
This study was aimed at exploring the application value of three-dimensional (3D) ultrasound based o...
This research was conducted to explore the value of multimodal magnetic resonance imaging (MRI) base...
Although using standardized reports is encouraged, most emergency radiological reports in France rem...
Skin cancer is one of the most common types of cancer in the world, accounting for at least 40% of a...
PURPOSE: Total-body dynamic positron emission tomography/computed tomography (PET/CT) provides much ...
Image processing plays a crucial role in maximising diagnostic quality of positron emission tomograp...
PURPOSE: Myocardial perfusion imaging (MPI) using single-photon emission computed tomography (SPECT)...
The quantification of subcortical volume development from 3D fetal ultrasound can provide important ...
OBJECTIVE: A commercially available CT-guided robot offers enhanced abilities in planning, targeting...
During x-ray-guided interventional procedures, the medical staff is exposed to scattered ionizing ra...
This study was aimed to explore the application of cardiac magnetic resonance imaging (MRI) image se...
The accurate control of moisture content (MC) during the processing of sea cucumber is beneficial to...
INTRODUCTION: Objective assessment of osteoarthritis (OA) Magnetic Resonance Imaging (MRI) scans can...
Artificial intelligence (AI) is defined as the development of computer systems to perform tasks norm...
OBJECTIVES: To assess the diagnostic accuracy of an automated algorithm to detect left ventricular (...
This study was aimed to compare and analyze the magnetic resonance imaging (MRI) manifestations and ...