Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Medical image segmentation is fundamental to clinical workflows, yet models trained on a single data...
Large language models (LLMs) are increasingly used by the public to seek health information, yet the...
Internet of Things (IoT) networks face significant challenges such as limited communication bandwidt...
Background: Objective Structured Clinical Examination (OSCE; Clinical Performance Examination [CPX] ...
Purpose: To evaluate whether large language models (LLMs) can enhance clinician-patient communicatio...
Discrete image tokenizers have emerged as a key component of modern vision and multimodal systems, p...
Background and Aims: Alcohol use disorder (AUD) remains a major public health concern, with persiste...
Semantic communication is a novel communication paradigm that focuses on conveying the user's intend...
INTRODUCTION: Cognitively unimpaired (CU) adults show substantial variation in their risk of develop...
Large-scale diffusion models such as FLUX (12B parameters) and Stable Diffusion 3 (8B parameters) re...
Scaling federated learning (FL) to billion-parameter models introduces critical trade-offs between c...
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...