Artificial Intelligence Medical Compendium

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

Showing 37,721 to 37,730 of 223,469 articles

Interpretable spatiotemporal traffic crash risk prediction using DMD-based graph neural networks.

Accident; analysis and prevention
Spatiotemporal prediction of urban traffic crashes is an important basis for proactive safety management, yet many existing models have difficulty capturing both temporal dynamics and spatial dependence in an interpretable way. This study develops a ... read more 

Deciphering environmental determinants of soil metals in dust-influenced arid soils through interpretable models across data-availability scenarios.

Journal of environmental management
Accurate prediction of soil potentially toxic metals (PTMs) and identifying their relationships with environmental drivers is essential for environmental risk management in dust-affected areas of central Iran. Aluminum, copper, nickel, and manganese ... read more 

From classical models to attention-based transformers: A comparative study of injury prediction pipelines in female varsity soccer.

Journal of biomechanics
This study aimed to compare four commonly used machine learning techniques, Support Vector Machine (SVM), XGBoost, Long Short-Term Memory (LSTM), and a Hybrid Transformer, for predicting non-contact lower limb and lower back injuries in female varsit... read more 

Altered degree centrality and resting-state functional connectivity in epilepsy patients with focal to bilateral tonic-clonic seizures.

Brain research bulletin
Focal to bilateral tonic-clonic seizures (FBTCS) is a severe form of seizure associated with various adverse events. This study aimed to characterize abnormalities in the resting-state brain network related to FBTCS and use those findings to fit mach... read more 

AI disclosure uncertainty in nursing education: A pedagogical scaffold for professional learning.

Nurse education today
Generative artificial intelligence (AI) is rapidly reshaping how nursing students produce and communicate academic work, intensifying questions about authorship, accountability, and trust. Although AI disclosure is widely promoted in nursing educatio... read more 

Dynamic-Aware video distillation: Adaptive temporal partitioning based on video semantics for edge device.

Neural networks : the official journal of the International Neural Network Society
Deep learning model training on edge device is challenged by limited computational power and dataset scale. Dataset distillation (DD) aims to address this challenge by synthesizing a compact, small-scale dataset that yields model performance comparab... read more 

EthoClaw: An Integrated AI Workflow Platform for Automated Analysis in Neuroethology

bioRxiv
Computational methods have advanced the analysis of animal behavior, yet significant challenges remain in data standardization, analytical reproducibility, and workflow integration. Existing computational solutions often demand extensive programming ... read more 

DeepBranchAI: A Novel Cascade Workflow Enabling Accessible 3D Branching Network Segmentation

bioRxiv
Three-dimensional branching networks exist throughout biological, natural, and man-made systems as pathways through volumetric space. Segmentation is required to correctly reconstruct the networks in whole or in part for analysis. This presents a uni... read more 

IFN-γ Orchestrates Coordinated Immunosuppression in Head and Neck Squamous Cell Carcinoma Through JAK-STAT-IRF8 Signaling: A Transcriptome-Wide Computational Analysis

bioRxiv
Background: Interferon-gamma (IFN-{gamma}) is the primary effector cytokine of adaptive anti-tumor immunity, yet it paradoxically induces a potent immunosuppressive tumor microenvironment (TME). The full mechanistic scope of this paradox in head and ... read more 

AI-Enforced Ultra-Large Virtual Screening Discovers Potent CD28 Binders

bioRxiv
Targeting protein-protein interactions (PPIs) with small molecules is historically challenging due to shallow, solvent-exposed interfaces that lack classical binding pockets. Furthermore, employing traditional structure-based virtual screening (SBVS)... read more