Artificial Intelligence Medical Compendium

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

Showing 11,711 to 11,720 of 210,187 articles

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
A continuing challenge in aerospace materials is the search for alloys that have desired functional properties to operate at higher temperatures with lower densities. This improves aero-engine efficiency and reduces CO2 and other harmful emissions, a... read more 

Genetic algorithm-optimized machine learning approaches for EEG-based silent speech decoding.

Journal of medical engineering & technology
The phases of human communication consist of speech perception, production, and imagination. The objective of this work is to understand and analyse the changes that occur in the neural signals during the hearing phase by examining electroencephalogr... read more 

Erratum: Multi-Perspective Fuzzy Reasoning and XGBoost-Based Analysis of Online Learning Behavior.

Journal of visualized experiments : JoVE
This corrects the article 10.3791/69515. read more 

Multi-Omics and Machine Learning Integration Identifies Key Endothelial Modules in Carotid Artery Stenosis.

Journal of clinical laboratory analysis
BACKGROUND: Carotid artery stenosis (CAS) is a major cause of ischemic stroke, yet reliable molecular biomarkers for early identification remain limited. METHODS: We integrated single-cell RNA sequencing (scRNA-seq), bulk transcriptomics, and in-hous... read more 

The robust frequency domain feature and hybrid CNN model for fatigue detection based on sEMG signal.

Computer methods in biomechanics and biomedical engineering
Excessive fatigue may cause secondary damage to the body during muscle rehabilitation. Therefore, muscle fatigue detection is essential for ensuring the safety and effectiveness of the training process. Deep-learning techniques have been widely used ... read more 

Microplastics and the Endocrine-Metabolic Interface: Novel Diagnostic Tools Targeting Thyroid-Adipose Axis.

Environmental toxicology
Microplastics (MPs) have been identified as major environmental contaminants that can affect organisms directly and act as carriers of particles and chemical additives, thereby aggravating endocrine networks that coordinate metabolic homeostasis. How... read more 

Faculty's Digital Accessibility Assistant: Does Generative AI Write Accurate, Meaningful, and Useful Alternative Text for Course Images?

Nurse educator
BACKGROUND: Alternative text (alt text) for images is critical for digital accessibility, but faculty often lack time or training to create it. Generative artificial intelligence (AI) offers a potential solution, although its effectiveness in educati... read more 

Risk Prediction of Early-Onset Hepatocellular Carcinoma: Derivation and Validation in a Nationwide Young Adult Cohort.

Alimentary pharmacology & therapeutics
BACKGROUND: The global incidence of early-onset hepatocellular carcinoma (eHCC) is increasing significantly; however, specific risk prediction tools for young adults remain scarce. This study aimed to develop and validate predictive models for eHCC u... read more 

Insights From Spatiality: Accelerating Pharmaceutical Research Using Mass Spectrometry Imaging.

Medicinal research reviews
Mass spectrometry imaging (MSI) has emerged as a transformative technology in pharmaceutical research, offering unprecedented capabilities to visualize drug distribution, metabolism, and target engagement in biological tissues. By combining the molec... read more 

Quantum Dot Encoding for In-Solution Single-Molecule Biomarker Counting in Metastatic Prostate Cancer.

ACS nano
Digital assays are in wide development for biomarker quantification at the single-molecule level, but the common use of surface pull-down steps limits both analytical sensitivity and throughput. Here, we develop surface-free, wash-free, in-solution a... read more