Artificial Intelligence Medical Compendium

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

Showing 32,731 to 32,740 of 221,227 articles

Relationships between periodontitis and inflammatory bowel disease: Screening and functional analysis of endoplasmic reticulum stress-related biomarkers.

Biochemical and biophysical research communications
This study aimed to explore the relationship between periodontitis (PD) and inflammatory bowel disease (IBD), focusing on changes in the expression of endoplasmic reticulum stress (ERS)-related genes and the screening of potential biomarkers. PD and ... read more 

Vocal Fundamental Frequency and Generalized Anxiety Disorder: Insights from a Large Multi-Country Cohort in Africa.

Journal of voice : official journal of the Voice Foundation
OBJECTIVE: Voice-based biomarkers have been proposed as objective tools for anxiety assessment, yet existing research relies on small, demographically homogeneous samples and shows inconsistent associations between fundamental frequency (F0) and anxi... read more 

LSHMMformer: An Intelligent detection model of depression based on multi-modal fusion.

Journal of neuroscience methods
BACKGROUND: Depression is a serious mental health issue, which has become an undeniable threat to mental well-being. Against this background, research on automatic depression detection based on deep learning (DL) can help reduce the cost of depressio... read more 

A multiparameter model (OsteoSC-M3) for early detection and risk stratification of osteoporosis in women: a multicentre cohort study in China.

EClinicalMedicine
BACKGROUND: Osteoporosis is a major global health issue, but current early screening tools lack accuracy, and the gold-standard diagnostic method, dual-energy X-ray absorptiometry (DXA), is not widely accessible. This limits large-scale early screeni... read more 

Wooden-Tip Electrospray Ionization Mass Spectrometry Combined With Machine Learning for Differentiating Thyroid Tumours.

Analytical science advances
Direct mass spectrometry (MS) analysis of human tissues at the molecular level has great potential for clinical diagnosis and biomarker discovery. However, conventional MS-based analytical methods often require complicated and time-consuming sample p... read more 

The multi-target cardiac protection mechanism of butylphthalide and AI-driven precision medicine: From molecular basis to clinical translation.

Ageing research reviews
Butylphthalide (NBP) is a lipophilic small-molecule drug characterized by its multi-target and multi-pathway regulatory properties. Initially employed in the treatment of ischemic stroke, recent studies have highlighted its significant protective eff... read more 

Evaluating carbon efficiency across the lithium-ion battery industry using a SMOTE-augmented Super-SBM approach.

Environmental research
The lithium-ion battery (LIB) industry, a cornerstone of energy storage technology, is critical in the global transition towards low-carbon energy systems. However, its carbon emission performance remains poorly understood. This study developed a hyb... read more 

Regional economy, physical environment and self-rated health among older adults in China: Evidence from XGBoost and SHAP.

Environmental research
Although the effects of the regional economy and physical environment on self-rated health among older adults in China have been widely recognized, their confounding relationships and non-linear impacts remain insufficiently understood. This study dr... read more 

Batch Size Effects on Mid-2025 State-of-the-Art Large Language Model Performance in Automated Title and Abstract Screening.

Cochrane evidence synthesis and methods
BACKGROUND: Manual abstract screening is a primary bottleneck in evidence synthesis. Emerging evidence suggests that large language models (LLMs) can automate this task, but their performance when processing multiple references simultaneously in "bat... read more