Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Deep joint source-channel coding (deepJSCC) and semantic communication have shown promising improv...
BACKGROUND: Bipolar disorder (BD) is among the psychiatric disorders most prone to misdiagnosis, wit...
Detecting lung abnormalities via chest X-rays is challenging due to understated tissue variations of...
PURPOSE: Automated Whole-Breast Ultrasound (ABUS) has been widely used as an important tool in breas...
External and middle ear diseases are common disorders, especially in children, and can be examined u...
Biosecurity practices are the cornerstone of disease prevention and control programs. In Canada, the...
This systematic review evaluates the impact of the large language model (LLM) ChatGPT in oral and ma...
Effective communication training is essential to preparing nurses for high-quality patient care. W...
BACKGROUND: Effective communication skills are fundamental for health care professionals, yet conven...
To address inter-frame motion artifacts in ultrasound quantitative high-definition microvasculature ...
Nanotechnology and information communication technology (ICT) are being combined to develop innovati...
6G wireless systems are expected to support massive volumes of data with ultra-low latency. Howeve...
Conversational breakdowns in close relationships are deeply shaped by personal histories and emoti...
Alzheimer's disease (AD) is the most prevalent type of dementia. It is linked with a gradual decline...
While large language models (LLMs) achieve near-perfect scores on medical licensing exams, these e...
Clear communication of robot intent fosters transparency and interpretability in physical human-ro...
Task-oriented semantic communication enhances transmission efficiency by conveying semantic inform...
Transformer models power many AI applications but suffer from high inference latency, limiting the...
The high incidence and mortality rates of gastric cancer pose a significant burden on human health a...
User experience significantly impacts pharmaceutical drug effectiveness. Social media platforms, p...
This paper addresses the problem of robust estimation in gossip algorithms over arbitrary communic...