Artificial Intelligence Medical Compendium
Explore the latest research on artificial intelligence and machine learning in medicine.
Showing 1,121 to 1,130 of 213,401 articles
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
Advancing sustainable agriculture through multi-parameter fuzzy soft set-based plant disease classification.
Scientific reports
Jul 19, 2026
Plant diseases significantly affect agricultural productivity and global food security, while accurate disease identification remains challenging because of uncertain and overlapping visual symptoms in leaf images. Existing deep learning approaches o... read more
Vehicle lane change prediction with explainable soft mask attention mechanism and heterogeneous information encoder.
Scientific reports
Jul 19, 2026
Lane-change intention prediction is critical for intelligent vehicles, and driver decisions depend on the perception and processing of driving context information. Despite advances in deep learning in this domain, further exploration of the driving c... read more
Interpretable Machine Learning for Air Pollution and Respiratory Health Prediction: A Socioeconomic Subgroup Analysis
arXiv
Jul 19, 2026
Air pollution and climate-related stressors are increasingly important concerns for respiratory health, especially in settings with unequal environmental exposure and healthcare capacity. This study evaluates an interpretable machine learning framewo... read more
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