Artificial Intelligence Medical Compendium

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

Showing 71,541 to 71,550 of 234,892 articles

Blood urea nitrogen-to-lipid ratios are novel indices inversely associated with anxiety: Insights from NHANES.

Journal of affective disorders
BACKGROUND: Anxiety is a highly prevalent mental disorder linked to metabolic and renal dysregulation. Blood urea nitrogen (BUN) and lipid profiles have been associated with affective symptoms, but findings are inconsistent, indicating the limitation... read more 

Machine learning for food flavor prediction and regulation: models, data integration, and future perspectives.

Journal of advanced research
BACKGROUND: Flavor is a central attribute of food quality, shaping consumer preferences and market performance. Traditional evaluation methods, such as sensory panels and basic assays, are often constrained by subjectivity, low throughput, and limite... read more 

Neural and behavioral dynamics of dyadic rhythm coordination across limb pairings.

Behavioural brain research
Interpersonal motor synchronization relies on precise neural coordination, yet its underlying brain mechanisms remain incompletely understood. Guided by mutual prediction theory, we investigated how temporal structure and effector-specific constraint... read more 

Feature extraction and intelligent diagnosis of ECG signals based on KANs and xLSTM.

Biosensors & bioelectronics
Cardiovascular disease (CVD) is the top cause of mortality globally, making it crucial to diagnose arrhythmias promptly and accurately for the early prevention and treatment of CVD. While numerous methods exist for detecting arrhythmias using ECG sig... read more 

ReVGG-R2Net: Optimized recurrent framework for microscopic blood cell segmentation.

Tissue & cell
Accurate segmentation of microscopic blood cell images is critical for advancing biomedical analysis and diagnostics. However, existing segmentation models often fall short due to limited dataset diversity and challenges in capturing fine cellular de... read more 

A physically informed domain-independent data-driven inundation forecast model.

Water research
Inundation maps with spatial and temporal distribution of the water depths are essential for protecting the population in case of pluvial flood events. Creating these maps in operational forecasting is currently not possible with traditional physical... read more 

ChatGPT and other large language models for childhood asthma.

Paediatric respiratory reviews
Large language models (LLMs) such as ChatGPT, Claude, and Gemini have become widely accessible since 2022. As childhood asthma remains the most common chronic paediatric condition with persistent gaps in optimal management, these tools present both o... read more 

Beetle-inspired responsive photonic microgel assemblies for multi-sensing enhanced by machine learning.

Biosensors & bioelectronics
Bioinspired photonic hydrogels hold promise as sensors; however, their use in triple-analyte sensing optical devices has been minimally explored. Temperature, serum Fe levels, and X-ray doses are critical factors for predicting and monitoring medical... read more 

Non-destructive assessment of tissue engineered cartilage maturity using visible and near infrared spectroscopy combined with machine learning.

Biosensors & bioelectronics
Tissue engineering is a promising approach to address the unmet clinical need for treating cartilage damage. Monitoring the characteristics of tissue-engineered cartilage constructs (TECs) during culture is critical for optimizing culture conditions ... read more 

A data-driven modeling approach to prediction of persistent foot drop after gastroc-soleus lengthening surgery in children with cerebral palsy.

Gait & posture
BACKGROUND: Gastrocsoleus lengthening (GSL) is an established surgical intervention for equinus deformity in children with cerebral palsy (CP). While GSL typically improves ankle function during stance, some children experience persistent ankle plant... read more