Artificial Intelligence Medical Compendium

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

Showing 3,111 to 3,120 of 168,416 articles

In-depth bioinformatics analysis uncovers the crosstalk genes and immune interactions among diagnostic markers linked to natural killer cells in patients with cirrhosis and sepsis.

Clinical and experimental medicine Aug 6, 2025
Patients with cirrhosis face an elevated risk of developing sepsis, leading to an escalating mortality rate. This study focuses on the link between natural killer (NK) cells, cirrhosis, and sepsis. Our goal is to identify NK cell-related genes that c... read more 
Humans Biomarkers Gene Expression Profiling Sepsis ROC Curve Gene Regulatory Networks Computational Biology Liver Cirrhosis Databases, Genetic Killer Cells, Natural

Machine learningdriven framework for realtime air quality assessment and predictive environmental health risk mapping.

Scientific reports Aug 6, 2025
This research introduces a practical and innovative approach for real-time air quality assessment and health risk prediction, focusing on urban, industrial, suburban, rural, and traffic-heavy environments. The framework integrates data from multiple ... read more 
Humans Machine Learning Risk Assessment Environmental Monitoring Air Pollutants Air Pollution Environmental Health

Current applications of deep learning in vertebral fracture diagnosis.

Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA Aug 6, 2025
Deep learning is a machine learning method that mimics neural networks to build decision-making models. Recent advances in computing power and algorithms have enhanced deep learning's potential for vertebral fracture diagnosis in medical imaging. The... read more 

Complex methods for complex data: key considerations for interpretable and actionable results in exposome research.

European journal of epidemiology Aug 6, 2025
Complex multidimensional data are becoming more widely available and are drastically affecting the way epidemiological studies are designed and conducted. Novel frameworks such as the exposome-which encompasses the comprehensive and cumulative set of... read more 

BlurryScope enables compact, cost-effective scanning microscopy for HER2 scoring using deep learning on blurry images.

NPJ digital medicine Aug 6, 2025
We developed a rapid scanning optical microscope, termed "BlurryScope", that leverages continuous image acquisition and deep learning to provide a cost-effective and compact solution for automated inspection and analysis of tissue sections. This devi... read more 

Reusable Noncomplementary DNA-Based Neural Network.

Journal of the American Chemical Society Aug 6, 2025
Neural network computation is a cornerstone of modern artificial intelligence, with electronic software-based approaches achieving widespread success due to their ability to enable continuous, iterative learning on the same platform. DNA-based neural... read more 

Effect of Comprehensive Medication Management on Mortality in Critically Ill Patients.

Critical care medicine Aug 6, 2025
OBJECTIVES: Medication management in the ICU is causally linked to both treatment success and adverse drug events. The purpose of this evaluation was to explore the effect of comprehensive medication management (CMM) on mortality in critically ill pa... read more 

FinMMR: Make Financial Numerical Reasoning More Multimodal, Comprehensive, and Challenging

arXiv Aug 6, 2025
We present FinMMR, a novel bilingual multimodal benchmark tailored to evaluate the reasoning capabilities of multimodal large language models (MLLMs) in financial numerical reasoning tasks. Compared to existing benchmarks, our work introduces three... read more 
Computer Vision and Pattern Recognition Computational Engineering, Finance, and Science

Network intrusion detection model using wrapper based feature selection and multi head attention transformers.

Scientific reports Aug 6, 2025
Nowadays, many fields, such as healthcare, farming, factories, transportation, cities, and homes are connected via network devices. These systems are configured in open environments and are prone to malicious attacks. It is important to protect these... read more 

Pyramidal attention-based T network for brain tumor classification: a comprehensive analysis of transfer learning approaches for clinically reliable and reliable AI hybrid approaches.

Scientific reports Aug 6, 2025
Brain tumors are a significant challenge to human health as they impair the proper functioning of the brain and the general quality of life, thus requiring clinical intervention through early and accurate diagnosis. Although current state-of-the-art ... read more 
Humans Neural Networks, Computer Brain Neoplasms Deep Learning Glioma Magnetic Resonance Imaging Meningioma
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