Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Hospital-acquired infections (HAIs) significantly increase patient mortality and healthcare burden, ...
Atypical Parkinsonian Disorders (APD), also known as Parkinson-plus syndrome, are a group of neurode...
Background: Cardiovascular diseases (CVDs) remain the leading global cause of morbidity and mortalit...
Diffusion Transformers (DiTs) have gained increasing adoption in high-quality image and video genera...
Enabling natural communication through brain-computer interfaces (BCIs) remains one of the most prof...
One-third of the world's 70 million people with epilepsy have seizures that are not controlled by me...
We propose a drone signal out-of-distribution detection (OODD) algorithm based on the cognitive fusi...
In biomedical engineering, artificial intelligence has become a pivotal tool for enhancing medical d...
Background Stress cardiomyopathy (SCM) shares features with acute myocardial infarction (AMI) which ...
Foundation Models (FMs) have demonstrated strong generalization across diverse vision tasks. However...
Purpose: Nearly all amyotrophic lateral sclerosis (ALS) patients develop dysarthria, with many progr...
Privacy-preserving model co-training in medical research is often hindered by server-dependent archi...
Snakebite is a neglected public health problem that results in significant morbidity and mortality, ...
BackgroundThe accuracy and safety of generating medication orders by large language models (LLMs) mu...
UNLABELLED: This study aims to develop an exploratory classification model for Juvenile Myoclonic Ep...
Learning robot manipulation policies from raw, real-world image data requires a large number of ro...
Federated Learning (FL) faces inherent challenges in balancing model performance, privacy preserva...
Federated Learning (FL), as a distributed learning paradigm, trains models over distributed client...
Federated learning (FL) provides a promising paradigm for collaboratively training machine learnin...
In recent years, hip arthroscopy has made great progress and has been extended to the treatment of i...
6G networks promise revolutionary immersive communication experiences including augmented reality ...