Artificial Intelligence Medical Compendium

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

Showing 51,361 to 51,370 of 225,182 articles

Metagenomic strain tracking reveals patterns of bacterial spread and the impact of water chlorination

medRxiv Feb 11, 2026
Bacterial infections are a major cause of morbidity and mortality among children under five in low- and middle-income countries (LMICs). Children in LMICs are exposed to and colonized by a range of pathogenic bacteria, yet patterns of bacterial excha... read more 
infectious diseases

Exploring the Influence of Lifestyle, Social Health, and Demographic Factors on Psychological Well-being and Engagement Levels

medRxiv Feb 11, 2026
Loneliness and psychological well-being are increasingly recognized as critical public health concerns, yet their multi-factorial determinants remain poorly understood. Traditional research often examines demographic, lifestyle, or social variables i... read more 
health informatics

Systems Biology and Machine Learning Decode an Immunometabolic Signature for Post-Thrombotic Syndrome

medRxiv Feb 11, 2026
Objective: Post-thrombotic syndrome (PTS), a common complication of deep vein thrombosis, lacks objective diagnostic biomarkers and its molecular mechanisms remain poorly understood. This study aimed to identify plasma biomarkers and clarify pathways... read more 
hematology

Data-Driven Multimodal Subtyping Reveals Differential Cognitive Risk and Treatment Effects in the All of Us Cohort

medRxiv Feb 11, 2026
INTRODUCTION: Cognitively unimpaired (CU) adults show substantial variation in their risk of developing mild cognitive impairment (MCI), yet most subtyping approaches emphasize neurobiological or cognitive features rather than modifiable risk factors... read more 
neurology

Wastewater-informed neural compartmental model for long-horizon case number projections

medRxiv Feb 11, 2026
Wastewater-based epidemiology provides a low-cost, scalable view of community infection dynamics, but converting these signals into actionable epidemiological insights remains difficult. Mechanistic models offer interpretability, yet, assumptions suc... read more 
infectious diseases

Augmenting Electronic Health Records for Adverse Event Detection

medRxiv Feb 11, 2026
Objective: Adverse events (AEs) resulting from medical interventions are significant contributors to patient morbidity, mortality, and healthcare costs. Prediction of these events using electronic health records (EHRs) can facilitate timely clinical ... read more 
health informatics

Causal Effects of Natural Language Processing-Enhanced Clinical Decision Support on Early Cognitive Impairment Detection: A Propensity Score Analysis Using Inverse Probability of Treatment Weighting

medRxiv Feb 11, 2026
Background: Natural language processing (NLP) systems integrated into clinical workflows show promise for detecting early cognitive impairment, yet causal evidence from real-world implementation remains limited. Observational studies comparing outcom... read more 
health informatics

Deep Learning-Based Missing Value Imputation for Heart Failure Data from MIMIC-III: A Comparative Study of DAE, SAITS, and MICE+LightGBM

medRxiv Feb 11, 2026
Background: Inadequate data in electronic health records can create problems for clinical decision support systems and predictive modelling tools. ICU patients with heart failure may have incomplete physiological data as a result of irregular patient... read more 
health systems and quality improvement

VC-RDAgent: An efficient rare disease diagnosis agent via virtual case construction informed by hybrid statistical-metric and hyperbolic-semantic prioritization

bioRxiv Feb 11, 2026
While Large Language Models (LLMs) have shown promise in clinical decision support, current Retrieval-Augmented Generation (RAG) paradigms face a fundamental bottleneck in rare disease diagnosis: the scarcity, privacy restrictions, and extreme hetero... read more 
bioinformatics

X-SPATIO: An Explanatory Deep Learning Pipeline for the Prediction and Visualization of Spatially Resolved Biomarker Expression in Triple-Negative Breast Cancer

bioRxiv Feb 11, 2026
Histopathologic evaluation remains central to cancer diagnosis and treatment planning, yet the molecular programs underlying distinct tissue morphologies are not routinely accessible in clinical workflows. Spatial transcriptomic/proteomic platforms p... read more 
pathology
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