Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: Negation in radiology reports (eg, "no evidence of dissection") is essential for accurat...
The purpose of this work was to evaluate image quality of non-contrast neurological CT scans on a co...
INTRODUCTION: Emergency departments face increasing overcrowding, resulting in diagnostic delays, hi...
Early and accurate detection of carotid plaques is clinically significant for stroke risk assessment...
RATIONALE AND OBJECTIVES: Cerebral tuberculomas (CTB) and lung cancer brain metastases (BM) frequent...
Trophoblast cell surface antigen 2 (TROP-2) is a transmembrane glycoprotein overexpressed across a r...
Intracranial electroencephalography (iEEG) provides direct recordings of cortical activity and remai...
PURPOSE: GE has recently developed Sonic DL MRI acceleration technology. We wished to (1) quantify s...
Radiology and breast imaging curricula have relied almost entirely on passive learning tools such as...
OBJECTIVE: To compare the diagnostic performance of five contemporary vision-enabled large language ...
Abstract Objective. To develop an automated method for segmentation and uptake quantification of...
Diabetic retinopathy (DR) remains a leading cause of preventable vision impairment worldwide, with i...
This paper presents FeTal-SAM, a novel adaptation of the Segment Anything Model (SAM) tailored for f...
Medical imaging data are increasingly used beyond patient care to support research, quality assessme...
INTRODUCTION/AIMS: Progressive intramuscular fat infiltration is a hallmark of neuromuscular degener...
PURPOSE: Large language models (LLMs) are increasingly applied in clinical decision support, yet the...
BACKGROUND: To evaluate whether baseline multi-parametric MRI radiomics models, integrating multiple...
High-field magnetic resonance imaging (MRI) offers excellent sensitivity and spatial resolution, yet...
OBJECTIVES: To develop the magnetic resonance imaging (MRI)-UltraSound UNet (MRUSuNet), a model that...
PURPOSE: The purpose of this study is to evaluate the potential impact of a Food and Drug Administra...
Medical imaging data are increasingly used for benchmarking, quality improvement, research, and arti...