Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Anomalous origin of coronary artery is a common coronary artery anatomy anomaly. The ano...
While artificial intelligence (AI) is already well established in diagnostic radiology, it is beginn...
. Approximately 57% of non-small cell lung cancer (NSCLC) patients face a 20% risk of brain metastas...
This systematic review aimed to evaluate the potential of deep learning algorithms for converting lo...
RATIONALE AND OBJECTIVES: Isocitrate dehydrogenase 1 (IDH1) is a potential therapeutic target across...
OBJECTIVES: To develop and identify machine learning (ML) models using pretreatment 2-deoxy-2-[F]flu...
Soft tissue sarcomas (STS) are a heterogeneous group of rare malignant tumors. Tumor grade might be ...
All-terrain microrobots possess significant potential in modern medical applications due to their su...
We investigate the predictive value of a comprehensive model based on preoperative ultrasound radiom...
BACKGROUND: We aimed to determine the capabilities of compressed sensing (CS) and deep learning reco...
INTRODUCTION: Undetected high-risk conditions in pregnancy are a leading cause of perinatal mortalit...
BACKGROUND: Late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) is a standard techniq...
Nocturnal enuresis is a bothersome condition that affects many children and their caregivers. Post-v...
PURPOSE: This study aimed to evaluate whether an artificial intelligence (AI) system can identify ba...
Neurodegenerative diseases are group of debilitating and progressive disorders that primarily affect...
BACKGROUND: Ablation zone segmentation in contrast-enhanced computed tomography (CECT) images enable...
INTRODUCTION: The complexity of diffuse gliomas relies on advanced imaging techniques like MRI to un...
Image segmentation of the liver is an important step in treatment planning for liver cancer. However...
OBJECTIVES: The unprecedented surge in energy costs in Europe, coupled with the significant energy c...
The aim of the present study was to compare the effectiveness of AI-assisted training and convention...
RATIONALE AND OBJECTIVE: To compare the performance of large language model (LLM) based Gemini and G...