Artificial Intelligence Medical Compendium

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

Showing 59,711 to 59,720 of 228,014 articles

Search for active and inactive ion insertion sites in organic crystalline materials.

Chemical science Jan 20, 2026
The position of mobile active and inactive ions, specifically ion insertion sites, within organic crystals, significantly affects the properties of organic materials used for energy storage and ionic transport. Identifying the positions of these atom... read more 

Artificial intelligence in emergency medicine: a narrative review.

The American journal of emergency medicine Jan 20, 2026
INTRODUCTION: Artificial intelligence (AI) is increasingly embedded in healthcare, with expanding applications in emergency medicine (EM). OBJECTIVE: This focused narrative review provides an overview of key applications, limitations, and future dire... read more 

Diagnosis and classification of infective endocarditis via efficient serum metabolic fingerprint analysis.

Biosensors & bioelectronics Jan 20, 2026
Infective endocarditis (IE) continues to pose significant clinical challenges as a life-threatening condition associated with 30 % mortality. The current diagnostic criteria, the 2023 Duke-International Society for Cardiovascular Infectious Diseases ... read more 

Adversarially robust neural network decision boundaries via tropical geometry.

Neural networks : the official journal of the International Neural Network Society Jan 20, 2026
We introduce a simple, easy to implement, and computationally efficient tropical convolutional neural network architecture that is robust against adversarial attacks. We exploit the tropical nature of piece-wise linear neural networks by embedding th... read more 

Recent advances in metal-organic framework-based nanozymes for cancer theranostics driven by synthetic innovation and machine learning design.

Colloids and surfaces. B, Biointerfaces Jan 20, 2026
Nanozymes are engineered nanomaterials designed at the atomic scale to fine-tune their structure, composition, and electronic properties, thereby creating active sites that mimic those of natural enzymes. Among these materials, Metal-organic framewor... read more 

VHU-Net: Variational hadamard U-Net for body MRI bias field correction.

Medical image analysis Jan 20, 2026
Bias field artifacts in magnetic resonance imaging (MRI) scans introduce spatially smooth intensity inhomogeneities that degrade image quality and hinder downstream analysis. To address this challenge, we propose a novel variational Hadamard U-Net (V... read more 

EPANET-Agentic: A multi-agent system for natural language-controlled simulations of water distribution networks.

Water research Jan 20, 2026
Water distribution networks (WDNs), a critical part of urban infrastructure, normally require numerous model simulations for effective planning and management. However, traditional WDN modelling requires complex workflows and specialized expertise. E... read more 

Future risks of cyanobacterial blooms in lakes unveiled by open access data and integrated machine learning models.

Water research Jan 20, 2026
Future projections of cyanobacterial blooms is of great significance for ecological risks management in lakes under the combined influences of human activities and climate change. However, due to the lack of long-term data on cyanobacterial blooms an... read more 

RWP: a robust watermarking plugin for attribution and protection in stable diffusion models.

Neural networks : the official journal of the International Neural Network Society Jan 20, 2026
Diffusion models have achieved remarkable success in content generation, driving the rapid development of various customized models. However, this progress also presents significant challenges in provenance tracking, including the misuse of black-box... read more 

Multi-modal feature alignment networks for multi-label image classification.

Neural networks : the official journal of the International Neural Network Society Jan 20, 2026
Multi-label image classification is a classification task that assigns labels to multiple objects in an input image. Recent research ideas mainly focus on solving the semantic consistency of visual features and label features. However, since images c... read more 
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