Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND AND PURPOSE: Artificial intelligence (AI) algorithms have been used to synthesize standar...
FDG-PET/CT is central to Lugano-based staging, Deauville-scored response assessment, and prognostica...
OBJECTIVES: To predict spontaneous stone passage (SSP) in uncomplicated acute ureteric colic (AC) us...
BACKGROUND: Non-small cell lung cancer (NSCLC) remains the leading cause of cancer-related mortality...
PURPOSE: To develop and evaluate a deep learning algorithm for automated segmentation and quantifica...
UNLABELLED: Dermatofibrosarcoma protuberans (DFSP) is a locally aggressive soft-tissue tumor which r...
PURPOSE: Lumbar disc herniation is associated with substantial morbidity, including low back pain, r...
Purpose Develop a multi-scale fusion model (MSFM) based on multi-phase contrast-enhanced computed to...
RATIONALE AND OBJECTIVES: We aimed to establish a Segment Anything Model 3 (SAM3) based on ultrasoun...
Uveitis encompasses a heterogeneous spectrum of etiologies, including systemic inflammatory diseases...
The development of generalist artificial intelligence (AI) models for radiology is hindered by a lac...
BACKGROUND: Laslo et al. recently reported a guided denoising diffusion implicit model for spatial t...
BACKGROUND: Ultrasound remains one of the most widely used imaging modalities in clinical practice; ...
Societies are aging rapidly in parallel with the increasingly earlier onset of serious diseases in y...
INTRODUCTION: Adolescent Idiopathic Scoliosis (AIS) affects 2-4% of adolescents globally. Current sc...
Cerebrovascular research heavily relies on quantitative analysis of intracranial arteries from time-...
OBJECTIVES: Salivary gland ultrasonography is a promising non-invasive modality for the evaluation o...
OBJECTIVES: The primary aim of this study was to develop a multimodal artificial intelligence model ...
Vertebral compression fractures (VCFs) represent the most prevalent osteoporotic fracture and consti...
Global health in radiology has expanded substantially over the past 2 decades. However, much of the ...
PURPOSE: This study aimed to assess whether multimodal large language models (LLMs) can distinguish ...