Artificial Intelligence Medical Compendium

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

Showing 6,191 to 6,200 of 205,623 articles

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 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 

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 

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 

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 

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 

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 

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

Light, science & applications Jun 1, 2026
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 

Simulation of fish chronic toxicity using the Las Vegas algorithm and the vector of ideality of correlation.

Environmental toxicology and chemistry Jun 1, 2026
The presence of active pharmaceutical ingredients (APIs) in aquatic environments calls for greater attention to the risks these substances may pose, particularly concerning chronic toxicity. The No Observed Effect Concentration (NOEC) is a commonly u... read more 

Deep Learning-Based Bone Age Assessment for Predicting Final Adult Height in Girls With Central Precocious Puberty.

Korean journal of radiology Jun 1, 2026
OBJECTIVE: This study aimed to evaluate the accuracy of predicting final adult height (FAH) in Korean girls with central precocious puberty (CPP) using artificial intelligence (AI)-derived bone age assessments integrated into the Bayley-Pinneau (BP) ... read more 
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