Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Along with the proliferating research interest in Semantic Communication (SemCom), Joint Source Ch...
Federated learning (FL) has attracted considerable interest in the medical domain due to its capac...
Joint source-channel coding (JSCC) is a promising paradigm for next-generation communication syste...
Electric Vertical Take-off and Landing vehicles (eVTOLs) are driving Advanced Air Mobility (AAM) t...
Understanding communication and information processing among brain regions of interest (ROIs) is h...
Anthropogenic noise has increased ambient sound levels across the globe, both underwater and on land...
The primate brain exhibits a hierarchical, modular architecture with conserved microcircuits executi...
Spatial transcriptomic data enable study of cell–cell communication, yet current analysis tools ofte...
Aging disrupts brain network integration and is a significant risk factor for cognitive decline and ...
Large language models (LLMs) are increasingly being recognised as valuable knowledge communication t...
Amyotrophic lateral sclerosis (ALS), a progressive neuromuscular degenerative disease, rapidly impai...
Leveraging machine learning on electronic health records offers a promising method for early identif...
Pneumonia, primarily caused by Streptococcus pneumoniae, and tuberculosis (TB), caused by Mycobacter...
This pragmatic randomized controlled trial aimed to assess the effect of a passive display of artifi...
Influenza causes about 650,000 deaths worldwide each year, and the high mortality rate of severe cas...
Vaccination against infectious diseases prevents diseases, saves lives, and reduces healthcare costs...
Objective Structured Clinical Examinations (OSCEs) are critical tools in medical education, designed...
Aligning the Theory of Mind (ToM) capabilities of Large Language Models (LLMs) with human cognitive ...
The growing use of large language models for health communication raises important questions about p...
In the field of medical crowdfunding prediction, traditional statistical methods have long been the ...
Radiology reports are primarily designed for healthcare professionals, often containing complex medi...