Artificial Intelligence Medical Compendium

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

Showing 61,921 to 61,930 of 230,319 articles

cervical nuclei segmentation through synergic conditional generative adversarial network in cervical smear images.

Computational biology and chemistry
Cervical nuclei segmentation is critical for the early detection and accurate diagnosis of cervical cancer. However, this task is challenging due to the presence of clumped nuclei and variations in texture, shape, and contrast. To address these chall... read more 

Lightweight frameworks for real-time crack monitoring in civil infrastructure.

Ultrasonics
Cracks in concrete buildings, pavements and bridges are important signs of structural deterioration and present serious concerns to integrity and safety. Tradionally, manual inspection has been in use to detect the cracks which is labour-intensive, s... 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
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 

Development and validation of an Interpretable Machine learning model for Discriminating between benign and malignant breast cancer.

International journal of medical informatics
OBJECTIVE: Breast cancer prognosis depends on early detection. We developed and externally validated a model using routine, readily available clinical and laboratory variables to discriminate malignant from benign breast lesions, aiming to reduce unn... read more 

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

Chemical science
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
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 

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

Medical image analysis
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
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
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
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