Artificial Intelligence Medical Compendium

Surface-Enhanced Raman Spectroscopy (SERS) has become a valuable way to detect small amounts of molecules due to its high sensitivity. Nonetheless, applying it in the clinic has been slow because of issues with the spectrum's complexity, background n... read more 

We present the Hypergraph Neural Diffusion Networks (HNDiffN) for learning node embedding and hyperedge embedding in hypergraphs. The main novelty lies in developing a continuous-time diffusion equation defined on nodes and hyperedges in hypergraphs ... read more 

Colorectal cancer (CRC) remains one of the leading causes of cancer-related mortality worldwide, yet more than 90 % of deaths are preventable through early detection. Here, we presented a high-performance surface-enhanced Raman scattering (SERS) subs... read more 

The use of artificial intelligence (AI) in medicine has been growing steadily over the past decade, but it has not been until the past few years that it has been employed officially in many different medical environments, from AI-assisted diagnosis t... read more 

Navigation-assisted surgical systems in oral and maxillofacial surgery have evolved considerably over the past 5 years, with newer modifications aimed at improving surgical precision, accuracy, and patient outcomes. This narrative review summarizes r... read more 

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Mixture-of-Experts (MoE) models have emerged as a powerful approach for scaling large language models (LLMs) by activating only a subset of specialized experts. Recently, there has been growing interest in deploying LLMs on low-resource devices, such... read more 

This paper investigates the global dissipativity and stability of inertial memristive multidimensional-valued neural networks (IMMVNNs) with time-varying delays. A unified model is developed based on high-order derivatives, multidimensional algebra, ... read more 

In the field of computer vision, similarity measurement serves as a pivotal metric for assessing the similarity or dissimilarity of image features. Image classification models utilize the results of these measurements to accomplish classification tas... read more 

Swarm intelligence results from a collective behaviour of swarm network, which harnesses distributed and simple rules of swarm systems to address complex problems without a central controller. One potential approach to transform such swarm networks i... read more