Artificial Intelligence Medical Compendium

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

Showing 52,731 to 52,740 of 225,341 articles

Pan-disease blood protein profiles of rheumatic autoimmune diseases

medRxiv Feb 6, 2026
Systemic autoimmune rheumatic diseases (SARDs) are a heterogeneous group of autoimmune conditions characterized by immune system dysregulation leading to chronic inflammation and tissue damage. The overlapping clinical manifestations make differentia... read more 
rheumatology

Safety and Utility of an Agentic Large Language Model-Based Hospital Course Summarizer: A Prospective Real-World Pilot Study

medRxiv Feb 6, 2026
Importance: High-quality discharge summaries are essential for safe care transitions but contribute substantially to clinician documentation burden and burnout. While retrospective studies suggest large language models (LLMs) can generate clinical su... read more 
health informatics

Perspectives of HIV policy makers and program implementers regarding the design and utilization of HIV surveillance systems in Sub-Saharan African countries experiencing a declining HIV epidemic: a qualitative study

medRxiv Feb 6, 2026
Background The burden of new HIV infections and HIV-related deaths have declined dramatically in sub-Saharan Africa (SSA). However, current HIV surveillance systems are primarily donor-funded and rely on data from population-based surveys and routine... read more 
hiv aids

Readiness, Equity, and Ethical Concerns in Artificial Intelligence (AI) Adoption in Ghana: Implications for AI Integration in Healthcare and Education

medRxiv Feb 6, 2026
Artificial intelligence (AI) is increasingly positioned as a transformative tool in education and health. Yet empirical evidence on AI readiness in low- and middle-income countries, particularly among youth, remains scarce. This study examined patter... read more 
public and global health

An AI Agent for Automated Causal Inference in Epidemiology

medRxiv Feb 6, 2026
Abstract Objective: To address the inefficiency, subjectivity, and high expertise barrier of traditional epidemiological causal inference, this study designed, developed, and validated an AI-powered agent (EpiCausalX Agent) to automate the end-to-end... read more 
epidemiology

Single-cell machine learning uncovers genetically anchored, cell-type specific programs of Alzheimer's disease

medRxiv Feb 6, 2026
Aging and genetic risk shape the molecular programs that confer cellular vulnerability in Alzheimer's disease (AD), but whether these programs differ between clinical symptoms and neuropathological burden remains unclear. Using single nucleus RNA seq... read more 
neurology

ESUS-AI:a machine learning framework to estimate the most likely embolic source in embolic stroke of undetermined source

medRxiv Feb 6, 2026
Background and Purpose Embolic stroke of undetermined source (ESUS) emains a major diagnostic challenge in vascular neurology, as a substantial proportion of patients lack an identifiable embolic source despite standardized diagnostic workup. The fai... read more 
neurology

Model-Driven Hybrid AI Framework for End-to-End Autonomous Decision-Making in Drug Development

bioRxiv Feb 6, 2026
Decision-making in drug development spans heterogeneous stages from molecular design to clinical optimization, yet computer-aided workflows across stages remain fragmented, limiting traceability from evidence-derived clinical questions to simulation ... read more 
pharmacology and toxicology

ASPECT: Alternative Splicing Event Classification with Transformers

bioRxiv Feb 6, 2026
Motivation: Alternative splicing (AS) is a fundamental regulatory mechanism that expands transcriptomic and proteomic diversity by generating multiple mRNA isoforms from a single gene. Aberrant AS has been implicated in numerous diseases through the ... read more 
bioinformatics

Mapping trans-eQTLs at single-cell resolution using Latent Interaction Variational Inference.

bioRxiv Feb 6, 2026
Single-cell expression quantitative trait loci (eQTL) studies hold promise for linking genetic variants to changes in gene expression in individual cells, thereby offering deeper insights into the genetic basis of human traits and diseases. Existing ... read more 
genomics
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