Artificial Intelligence Medical Compendium

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

Showing 44,521 to 44,530 of 224,055 articles

Machine Learning-Based Classification and Dynamic Analysis of Tear Film Lipid Layer Using Smartphone-Based Interferometry: A Pilot Study.

Eye & contact lens
OBJECTIVES: To develop and validate a machine learning (ML) model for classifying tear film lipid layer (TFLL) patterns from self-acquired smartphone-based interferometer (SBI) images and evaluate its applicability to dynamic TFLL monitoring outside ... read more 

Integrating multimodal intelligence in heart failure: AI-driven risk prediction, precision diagnosis, phenotyping, personalized treatment, and prognosis.

Chinese medical journal
Heart failure (HF) is a chronic condition characterized by high morbidity and mortality worldwide, imposing a substantial burden on healthcare systems. In recent years, artificial intelligence (AI) technologies, including machine learning, deep learn... read more 

Dynamic coactivation patterns during repetitive negative thinking: A cross-sectional fMRI study.

Psychological medicine
BACKGROUND: Repetitive negative thinking (RNT) and neuroticism are risk factors for internalizing psychopathology. However, their interaction has only been investigated at the self-report level, and studies elucidating their interrelationship at the ... read more 

Screening of Respiratory Toxicity of Environmental Compounds Based on Multimodal Feature Fusion Model.

Environmental science & technology
The respiratory system constitutes the primary interface between the human body and the external environment, demonstrating particular vulnerability to chemical toxicants through diverse exposure routes. Current regulatory frameworks face significant... read more 

Machine Learning-Enhanced Feature Engineering for High-Fidelity Quasi-Isentropic Waveform Prediction under Data Sparsity Constraints.

ACS applied materials & interfaces
The quasi-isentropic loading method based on multidimensional gradient structures plays a critical role in acquiring dynamic physical parameters and significantly enhances the service safety of materials. This study proposes a physics-guided machine ... read more 

High MAP3K6 Expression in Spinal Cord Injury Tissues Enhances Neuronal Apoptosis: Insights from Multi-Omics Data Integrating WGCNA, Machine Learning, and Experimental Validation.

The International journal of neuroscience
Spinal cord injury (SCI) is a major global health issue with severe complications, yet effective biomarkers remain elusive. We analyzed the GSE226238 dataset from the GEO database and identified 4,621 differentially expressed genes (DEGs) between SCI... read more 

Bioinspired Keratin-Based Eutectic Hydrogels for Intelligent Health Monitoring and Photothermal Therapy.

ACS applied materials & interfaces
The development of epidermal sensors that integrate high mechanical strength, excellent sensing performance, self-healing capability, and monitoring and therapeutic functions into conductive hydrogels remains a major challenge. In response to this ch... read more 

Multi-Energy Spectroscopic Fusion and Targeted Feature Engineering for Accurate Coal Carbon Quantification.

Analytical chemistry
Coal combustion is a major source of CO2 emissions, making accurate carbon quantification essential for emission assessment and mitigation. This study proposes a trimodal fusion prediction system for carbon estimation, which integrates multienergy la... read more 

Pseudohypoxia and Family History Are Key Predictors of Severe Outcomes in Hereditary Pheochromocytoma and Paraganglioma Syndromes.

European journal of endocrinology
OBJECTIVE: Pheochromocytoma and paraganglioma (PPGL) have high genetic predisposition rates. In this multicenter study, we aimed to identify risk-modulating factors for disease development and aggressiveness in patients carrying pathogenic variants (... read more