Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 7,511 to 7,520 of 207,466 articles

Universal and transferable attacks on pathology foundation models using microscopic perturbations.

Light, science & applications
The advent of foundation models initiated a paradigm shift in pathology and optical microscopy. However, these powerful systems also introduce vulnerabilities, making them susceptible to adversarial attacks. To shed light on these potential threats, ... read more 

Insights into the therapeutic strategies for aging and aging-associated diseases.

Signal transduction and targeted therapy
Aging is a complex biological process characterized by progressive functional decline, driving the incidence of age-related diseases such as neurodegeneration, metabolic disorders, and cardiovascular diseases. Therapeutic strategies targeting aging h... read more 

Machine learning based prediction of diesel engine emissions and performance using hemp biodiesel enriched with nano additives.

Scientific reports
The present study was focused on the experimental and machine learning approach to evaluate the diesel engine parameters behavior with hemp biodiesel blends enriched with nano additives (Al2O3, TiO2 and MWCNT's) at different loads. The Hemp biodiesel... read more 

An artificial intelligence model for prediction of hepatocellular carcinoma risk in patients with chronic hepatitis C.

Scientific reports
Hepatocellular carcinoma (HCC) still occurs in patients with hepatitis C who achieved sustained virologic response (SVR) after direct-acting antiviral therapy. We developed and validated an AI-assisted HCC prediction model using longitudinal data in ... read more 

Mechanical and tribological response of red brick dust filled hemp-epoxy composites using response surface methodology and machine learning approach.

Scientific reports
The current study focuses on the wear and mechanical properties of epoxy-based hybrid composites that contain hemp fiber and red brick dust (RBD). The hand lay-up method is used for making composites using hemp fiber (40 wt%) reinforced epoxy with va... read more 

Empirical analysis of adversarial robustness in 3D Gaussian Splatting under multi-view inconsistency attacks.

Scientific reports
3D Gaussian Splatting has emerged as a promising technique for real-time novel view synthesis, achieving rendering quality comparable to neural radiance fields while enabling significantly faster inference. Despite its growing adoption in various app... read more 

Spatial distribution and environmental attributes dataset of China's large-scale data centers in 2024.

Scientific data
With the rapid development of artificial intelligence, the energy consumption of large-scale data centers continues to grow. Understanding the spatial distribution of large-scale data centers is important for optimizing power system planning, increas... read more 

A hybrid CNN-DNN model for battery remaining useful life RUL prediction.

Scientific reports
Accurate prediction of the Remaining Useful Life of lithium-ion batteries is essential for enhancing reliability, safety, and maintenance planning in energy storage systems. This study proposes an optimized hybrid deep learning framework that integra... read more 

Spatial differentiation and driving mechanisms of traditional villages based on geo-explainable artificial intelligence.

Scientific reports
Traditional villages represent important cultural landscapes in China; however, their spatial patterns and driving mechanisms remain unclear in the context of rapid urbanization. This study selected 194 traditional villages and 4,705 spatial grids wi... read more 

Integration of Transcriptomics With Interpretable Artificial Intelligence for Identifying Molecular Signatures of Physiological Stress in Sleep Deprivation.

Journal of cellular and molecular medicine
Sleep deprivation induces systemic physiological stress accompanied by transcriptomic remodelling and immune dysregulation, yet objective molecular indicators for its assessment remain insufficient. This study integrated blood transcriptomic analysis... read more