Artificial Intelligence Medical Compendium

Pharmaceuticals serve as a double-edged sword: while essential for health care, they are also ubiquitous pollutants that threaten ecosystem. The vast scale of global surface waters makes comprehensive pharmaceutical monitoring impractical, resulting ... read more 

Large language models (LLMs), despite their remarkable successes, remain significantly expensive to implement. Among various strategies, key-value cache (KV cache) stands out as a crucial technique for expediting the inference of LLMs, yet it comes w... read more 

BACKGROUND: Coronary computed tomography angiography (CCTA) is vital for diagnosing ischemic heart disease, yet its accuracy is unreliable due to varying reader expertise. Artificial Intelligence (AI)-driven automated stenosis assessment offers promi... read more 

Nuclei segmentation and classification play a crucial role in the quantitative analysis of computational pathology (CPath). However, the challenge of creating a large volume of labeled pathology nuclei images due to annotation costs has significantly... read more 

This article delves into the application of a neural network (NN) to solve the time fractional diffusion-wave equation (TFDWE), wherein the fractional term is expressed in the Caputo sense of order α with 1 < α < 2. A numerical scheme of order O(t3-α... read more 

Emerging evidence implicates that built environment is involved in regulating sleep timing. However, few studies have examined multiple exposures, and the combined effects remain unexplored. Based on merging of geospatial imaging with dataset derived... read more 

Alzheimer's Disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and memory loss. In 2024 it affected approximately 1 in 9 people aged 65 and older in the U.S., 6.9 million individuals. Early detection and accur... read more 

Alzheimer's disease (AD) is a significant neurological condition that is marked by the gradual decline of memory and cognitive function, with a higher incidence observed in older individuals. The mental deterioration associated with this condition is... read more 

The increasing prevalence of antibiotic residues in food presents a significant threat to global public health. To address this critical concern, we developed a novel artificial neural network (ANN)-enhanced electrochemical sensor based on ZIF-8/MnMo... read more 

N4-acetylcytidine (ac4C), a pivotal post-transcriptional modification, modulates mRNA lifecycle dynamics and is linked to numerous pathologies. Accurate genome-wide identification of ac4C sites is fundamental to functional characterization, but exist... read more