Artificial Intelligence Medical Compendium

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

Showing 1,871 to 1,880 of 200,546 articles

Different pattern: a new EEG-based method for mental performance detection.

BMC medical informatics and decision making May 29, 2026
BACKGROUND: This study focuses on detecting mental performance from EEG signals. It provides both classification and explanation results. For this purpose, we developed a new feature extraction method called Different Pattern (DiffPat) within an Expl... read more 

Proteomic and transcriptomic analyses identify the role of RBM25 in the malignant progression of glioma.

The International journal of neuroscience May 29, 2026
Glioma is a primary tumor derived from central nervous system glial cells. RNA binding motif protein 25 (RBM25) has been implicated in glioma progression, yet its underlying molecular mechanism remains incompletely understood. In this study, glioma-r... read more 

From Single Motif to Active Ensembles: Phase-Controlled Co8 Cluster Catalysis on MoS2 for Nitrogen Electroreduction.

Advanced materials (Deerfield Beach, Fla.) May 29, 2026
Atomic-scale metal clusters, which bridge the gap between nanoparticles and single-atom catalysts, show pronounced structure-sensitive reactivity that is strongly governed by the support. Here, we reveal that the crystal phase of a two-dimensional su... read more 

A bibliometric analysis of the association between ultrasound and sarcopenia: Trends, networks, and future directions.

Medicine May 29, 2026
OBJECTIVE: With the escalating global prevalence of sarcopenia, the demand for effective diagnostic tools is critical. While ultrasound shows promise as a noninvasive assessment method, a comprehensive analysis of its research landscape is limited. T... read more 

Association between fat mass index and depressive symptoms in U.S. adults: A cross-sectional analysis of NHANES 2011-2016.

Medicine May 29, 2026
Fat mass index (FMI) reflects adiposity normalized for height and may provide information beyond body mass index. Evidence on its relationship with depressive symptoms in U.S. adults remains limited. This cross-sectional study used data from adults p... read more 

Machine learning identifies traffic-related pollutant mixtures as potential factors suggestive of association with osteoporosis in a cross-sectional analysis of NHANES.

Medicine May 29, 2026
The combined effect of traffic-related pollutant mixtures on osteoporosis (OP) remains unclear. This study aimed to evaluate such associations using machine learning and mixture modeling approaches. A cross-sectional analysis was conducted among 3053... read more 

Machine learning-based identification of multidimensional predictors of quality of life in individuals with multiple sclerosis.

Medicine May 29, 2026
This study aimed to identify independent predictors of quality of life in patients with multiple sclerosis (MS) using machine learning approaches. One hundred and one individuals diagnosed with MS were included in this cross-sectional study. Quality ... read more 

Vasoactive intestinal peptide associated 8-gene signature with prognostic and immune associations in melanoma.

Medicine May 29, 2026
Vasoactive intestinal peptide (VIP) plays a multifaceted role in cancer biology, yet its prognostic and immunological implications in melanoma remain underexplored. This study aimed to construct a VIP-related gene signature for risk stratification an... read more 

Predicting depressive symptoms in older adults with hearing impairment development and validation of NHANES-based machine-learning models: A cross-sectional study.

Medicine May 29, 2026
Depressive symptoms frequently co-occur with hearing impairment in older adults, yet available prediction tools for this high-risk subgroup remain limited in practicality and applicability. We developed and internally validated prediction models for ... read more 

Environmental toxicant glyphosate induces cardiotoxicity: New insights from network toxicology, integrated machine learning, molecular modeling and multidimensional bioinformatics analysis.

Medicine May 29, 2026
Glyphosate is one of the world's most widely used herbicide, yet the causal relationship between glyphosate and cardiotoxicity remains inadequate. To elucidate the cardiotoxic mechanisms of glyphosate, an integrative strategy was developed in this wo... read more 
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