Latest AI and machine learning research in radiology for healthcare professionals.
OBJECTIVE: This study aimed to build a multimodal ultrasound (color Doppler flow imaging/shear wave ...
Artificial intelligence-generated content (AIGC) has shown remarkable performance in nuclear medicin...
In recent years, explainable methods for artificial intelligence (XAI) have tried to reveal and desc...
Millions of individuals worldwide suffer from Alzheimer's disease (AD), a chronic, incurable neurolo...
OBJECTIVE: This study aims to enhance antenatal detection of placenta accreta spectrum (PAS) and pre...
The aim of this study was to assess the impact of a state-of-the-art 32 cm axial field-of-view GE Om...
Biomedical systems span multiple spatial scales, encompassing tiny functional units to entire organs...
BACKGROUND: Artificial intelligence tools, particularly large language models (LLMs), have shown con...
BACKGROUND: Artificial intelligence (AI) has been integrated into diagnostic modalities like nerve c...
Breast cancer diagnosis using magnetic resonance imaging remains limited by high false-positive rate...
BACKGROUND: Cardiovascular disease remains a major source of morbidity and mortality, and population...
The clinical diagnosis of fibromyalgia (FM), a syndrome characterized by generalized pain, is challe...
BACKGROUND: Radiomics has emerged as a promising approach for predicting radiotherapy (RT)- induced ...
Dynamic long-axial-field-of-view (LAFOV) PET imaging offers unprecedented opportunities for quantita...
BACKGROUND: Focal breast lesions are observed in up to 5.8% of CT examinations performed in female p...
OBJECTIVE: The segmentation of ultrasound video objects aims to delineate specific anatomical struct...
This paper presents an A-mode ultrasound scanner application-specific integrated circuit (ASIC) for ...
PURPOSE: To investigate the role of widefield en face imaging of retinal pigment epithelium (RPE) al...
OBJECTIVES: Artificial intelligence (AI) has the potential to transform medical informatics by suppo...
BACKGROUND: Autonomous robotic surgery has demonstrated its potential for the optimal outcomes. Howe...
BACKGROUND AND AIMS: Early detection of individuals with metabolic dysfunction-associated steatotic ...