Latest AI and machine learning research in radiology for healthcare professionals.
Health is fundamental to human well-being, with brain health particularly critical for cognitive fun...
OBJECTIVE: This study explores the value of combining intratumoral and peritumoral radiomics feature...
RATIONALE AND OBJECTIVES: This study constructed an interpretable machine learning model based on mu...
PURPOSE: Respiratory motion during PET acquisition may produce lesion blurring. Ultra-fast 20-second...
INTRODUCTION: Hydrogel spacers (HS) are designed to minimise the radiation doses to the rectum in pr...
BACKGROUND: In artificial intelligence for ultrasound-guided regional anaesthesia, accurate nerve id...
In recent years, post-mortem imaging has advanced with techniques such as Post-Mortem Computed Tomog...
Radiology is one of the medical specialties most significantly impacted by Artificial Intelligence (...
Artificial intelligence (AI), particularly deep learning, has demonstrated remarkable performance in...
Radiologists are crucial in the diagnostic workflow. They must maintain an independent perspective, ...
BACKGROUND: Lumbar disc herniation (LDH) is a common cause of back and leg pain. Diagnosis relies on...
BACKGROUND: To develop an artificial intelligence system that can accurately identify acute non-trau...
BACKGROUND: Gallbladder (GB) adenomas, precancerous lesions for gallbladder carcinoma (GBC), lack re...
Breast cancer is one of the most common types of cancer affecting women worldwide. Artificial intell...
PURPOSE: To assess the impact of an artificial intelligence decision support system (Koios DS) on th...
The firmness of meningiomas is a critical factor that impacts the surgical approach recommended for ...
Invasive diagnostic techniques, while offering critical insights into disease pathophysiology, are o...
BACKGROUND: To compare the influence of rectal susceptibility artifacts on the subjective evaluation...
BACKGROUND: We retrospectively evaluated the quality of deep learning (DL) reconstructions of on-sca...
Accurate identification of molecular subtypes in breast cancer is critical for personalized treatmen...
PURPOSE: This study evaluates a three-dimensional (3D) deep learning (DL) model based on fluorine-18...