Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Artificial intelligence (AI) is a colossal buzzword, a confusing subject matter, but also an inevitable reality. Generative and nongenerative AI are the 2 core subtypes of AI. Generative AI uses current data to understand patterns and generate new information, and it is especially valuable in producing synthetic medical images, enhancing surgical simulations, and expanding training datasets. Techn...
The role of artificial intelligence (AI) in pathology has evolved from aiding diagnostics to uncovering predictive morphological patterns in whole slide images (WSIs). Recently, foundation models (FMs) leveraging self-supervised pre-training have been widely advocated as a universal solution for diverse downstream tasks. However, open questions remain about their clinical applicability and gener...
Tuberculosis (TB) is the leading cause of death from an infectious disease globally, with the highest burden in low- and middle-income countries. In...
Agentic AI systems have gained significant attention for their ability to autonomously perform complex tasks. However, their reliance on well-prepar...
Mixture-of-experts (MoE) has been extensively employed to scale large language models to trillion-plus parameters while maintaining a fixed computat...
Semantic Communication (SemCom) is a promising new paradigm for next-generation communication systems, emphasizing the transmission of core informat...
Multi-modal Large Language Models (MLLMs) are capable of precisely extracting high-level semantic information from multi-modal data, enabling multi-...
One of the goals of Federated Learning (FL) is to collaboratively train a global model using local models from remote participants. However, the FL ...
With the advent of 6G networks, offering ultra-high bandwidth and ultra-low latency, coupled with the enhancement of terminal device resolutions, ho...
The estimation of underwater sound velocity distribution serves as a critical basis for facilitating effective underwater communication and precise ...
The increasing prevalence of preventable chronic disease in Canada poses significant challenges to both healthcare budgets and individual financial st...
Underwater communication is essential for both recreational and scientific activities, such as scuba diving. However, existing methods remain highly...
Molecular communication (MC) provides a foundational framework for information transmission in the Internet of Bio-Nano Things (IoBNT), where effici...
The growing demand for efficient semantic communication systems capable of managing diverse tasks and adapting to fluctuating channel conditions has...
A latent denoising semantic communication (SemCom) framework is proposed for robust image transmission over noisy channels. By incorporating a learn...
Accurate and efficient diagnosis in online medical consultations remains a challenge for current large language models. These models often rely on s...
Digital healthcare infrastructure is crucial for global medical service delivery. Egypt faces EHR adoption barriers: only 314 hospitals had such sys...
Wearable, wirelessly connected sensors have become a common part of daily life and have the potential to play a pivotal role in shaping the future o...
SQL Injection (SQLi) continues to pose a significant threat to the security of web applications, enabling attackers to manipulate databases and acce...
Droplet-based communications has been investigated as a more robust alternative to diffusion-based molecular communications (MC), yet most existing ...