Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Nanotechnology and information communication technology (ICT) are being combined to develop innovative drug delivery systems for targeted sites, such as tumor cells. The particulate targeted drug delivery (PTDD) system involves drugs containing nanoparticles embedded in nanoscale devices (referred to as bio-nanomachines) that can cross vascular barriers, resulting in an increased concentration of ...
6G wireless systems are expected to support massive volumes of data with ultra-low latency. However, conventional bit-level transmission strategies cannot support the efficiency and adaptability required by modern, data-intensive applications. The concept of semantic communication (SemCom) addresses this limitation by focusing on transmitting task-relevant semantic information instead of raw dat...
Conversational breakdowns in close relationships are deeply shaped by personal histories and emotional context, yet most NLP research treats conflic...
Alzheimer's disease (AD) is the most prevalent type of dementia. It is linked with a gradual decline in various brain functions, such as memory. Many ...
While large language models (LLMs) achieve near-perfect scores on medical licensing exams, these evaluations inadequately reflect the complexity and...
Clear communication of robot intent fosters transparency and interpretability in physical human-robot interaction (pHRI), particularly during assist...
Task-oriented semantic communication enhances transmission efficiency by conveying semantic information rather than exact messages. Deep learning (D...
Transformer models power many AI applications but suffer from high inference latency, limiting their use in real-time settings. Multi-device inferen...
The high incidence and mortality rates of gastric cancer pose a significant burden on human health and public health systems. Peritoneal metastasis is...
User experience significantly impacts pharmaceutical drug effectiveness. Social media platforms, particularly Twitter (now X), have become prominent...
This paper addresses the problem of robust estimation in gossip algorithms over arbitrary communication graphs. Gossip algorithms are fully decentra...
This paper addresses the problem of robust estimation in gossip algorithms over arbitrary communication graphs. Gossip algorithms are fully decentra...
Doctor-patient consultations require multi-turn, context-aware communication tailored to diverse patient personas. Training or evaluating doctor LLM...
In the fields of Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD), sensors that serve as the ``eyes'' for sensing the vehicle's...
Diffusion models have emerged as a powerful class of generative models across various modalities, including image, video, and audio synthesis. Howev...
Background: Deep learning has potential to improve the efficiency and consistency of radiation therapy planning, but clinical adoption is hindered b...
Effective workplace communication is essential for managerial success, yet many managers lack access to tailored and sustained training. Although AI...
Early prevention and standardized management of refractory wounds in the elderly are very important for improving prognosis, reducing disability rate,...
Gradient compression can effectively alleviate communication bottlenecks in Federated Learning (FL). Contemporary state-of-the-art sparse compressor...
Suicide remains one of the main preventable causes of death among active service members and veterans. Early detection and prediction are crucial in...