Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 1,041 to 1,050 of 200,219 articles
Insights into the therapeutic strategies for aging and aging-associated diseases.
Signal transduction and targeted therapy
Jun 1, 2026
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
Jun 1, 2026
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
Jun 1, 2026
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
Jun 1, 2026
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
Jun 1, 2026
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
Jun 1, 2026
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
Jun 1, 2026
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
Jun 1, 2026
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
Prediction of the surface roughness of Ti-6Al-4 V alloy during surface grinding using machine learning models.
Scientific reports
Jun 1, 2026
This study presents a machine learning (ML)-based approach to predict surface roughness, Ra during dry grinding of Ti-6Al-4 V alloy using Decision Tree, Random Forest, Gradient Boosting, Extreme Gradient Boosting (XGBoost), Linear Regression, and Pol... read more
Submanifold sparse convolutional networks for automated 3D segmentation of kidneys and kidney tumours in computed tomography.
Scientific reports
Jun 1, 2026
Accurate delineation of kidney tumours in Computed Tomography (CT) is essential for downstream quantitative analysis and precision oncology that could enable personalised treatments, but manual segmentation is a specialised task, time-consuming and d... read more
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- Machine Learning 32655
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- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
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