Artificial Intelligence Medical Compendium

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

Showing 1,271 to 1,280 of 213,568 articles

Chalcogen Impurity Barriers in 2D Systems via Semi-Empirical/Machine Learning Modeling: A Survey of 4000 Materials.

Journal of chemical theory and computation Jul 19, 2026
Adequate characterization of two-dimensional (2D) materials with low energy barriers for impurity adsorption is key for advancing applications based on catalysis, sensing, and surface functionalization. However, first-principles methods, such as dens... read more 

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring.

Advanced healthcare materials Jul 19, 2026
Bone regeneration in orthopedics is a great challenge, as efficient recovery affects patient's quality of life. Common methods encounter different limitations regarding diagnosis, implantation, and bone health monitoring. Recent advances in artificia... read more 

Going beyond Conventional Catalytic Oxidation of Formaldehyde via Machine-Learning-Accelerated Design of Oxide-Silver Tandem Catalysts.

Environmental science & technology Jul 19, 2026
Designing high-performance catalysts for efficient HCHO oxidation under mild conditions is essential, yet remains challenging to achieve through conventional experimental screening. Here, we present a machine-learning-accelerated strategy for designi... read more 

Coverage-Dependent Lateral Interactions Shape the Electrocatalytic Activity of High-Entropy Alloys.

Journal of the American Chemical Society Jul 19, 2026
While the rich diversity of surface sites on high-entropy alloys (HEAs) is essential for tuning electrocatalytic activity, the coverage-dependent lateral interactions that shape reactive interfaces are often neglected in theoretical studies. Here, we... read more 

Thermal Tightrope: Trajectory Dynamics of Levitating Droplet Clusters under Variable Temperature Conditions.

Langmuir : the ACS journal of surfaces and colloids Jul 19, 2026
We introduce a comprehensive computational framework for quantifying the dynamics of levitating droplets in a cluster during controlled cooling from 50 to 46 °C. This framework integrates state-of-the-art Computer Vision and Machine Learning techniqu... read more 

Fe2O3-Functionalized CuBi2O4 Surface Heterojunction with Interfacial Modulation for Synergistically Enhanced H2S Sensing in Agricultural Livestock Environments.

Langmuir : the ACS journal of surfaces and colloids Jul 19, 2026
Hydrogen sulfide, a typical malodorous pollutant generated during the anaerobic fermentation of manure, can cause severe harm to livestock health and lead to significant economic losses in the aquaculture industry when excessively accumulated. To add... read more 

DeepHeptox: An Interpretable Deep Learning Model for Multi-Endpoint Hepatotoxicity Prediction of Chemical Compounds.

Journal of chemical information and modeling Jul 19, 2026
Hepatotoxicity represents a major adverse outcome of chemical exposure, as the liver plays a central role in xenobiotic metabolism and detoxification. Accurate prediction of hepatotoxicity is therefore essential for drug development and chemical safe... read more 

Dual-stream feature fusion network for landslide detection.

Scientific reports Jul 19, 2026
Landslides are destructive natural hazards that threaten infrastructure, ecosystems, and human settlements, particularly in mountainous regions. Although deep learning has significantly improved landslide detection from remote sensing imagery, existi... read more 

Multimodal graph-based deep learning for predicting heat of combustion as a key hazard indicator under GHS/CLP standards.

Scientific reports Jul 19, 2026
We report a multimodal graph-based deep learning framework that integrates molecular graph topology with physicochemical descriptors to predict the heat of combustion (HoC) directly from chemical structure. The model employs a neural network convolut... read more 

Stacking ensemble learning for PCC voltage prediction in SEIG-ELC based off-grid micro-hydro systems.

Scientific reports Jul 19, 2026
Voltage stability in off-grid systems that use self-excited induction generators (SEIGs) is difficult to maintain. The limited generation capacity and the frequent load variations of rural micro-hydro settings are the main reasons. Accurate predictio... read more 
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