Stroke is a major cause of motor disability, degrading walking and quality of life. Wearable gait analysis with magneto-inertial measurement units (MIMUs) can quantify post-stroke impairments. We used machine learning to identify discriminative gait ... read more
Automatic modulation classification (AMC) aims to recognize the modulation type of a received signal, playing a crucial role in various civil and military applications. However, most existing deep learning (DL)-based AMC methods require massive label... read more
The international journal of cardiovascular imaging
Mar 9, 2026
To evaluate a new deep learning (DL) motion correction (MC) software based on partial angle reconstruction (PAR) to reduce motion artifacts in patients with increased heart rate (HR) in coronary CT angiography (CCTA). This retrospective single-center... read more
The international journal of cardiovascular imaging
Mar 9, 2026
Coronary artery disease remains a major worldwide health threat, requiring consistent developments in non-invasive diagnostic tools. Coronary Computed Tomography Angiography (CCTA) is frequently used for anatomical assessments of coronary arteries. H... read more
BACKGROUND: Enhancing pre-analytical QC in clinical laboratories and providing risk alerts is crucial for ensuring accurate test results for patients whose samples are affected by hemolysis, icterus, or lipemia. We evaluated a novel, self-developed a... read more
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.