Artificial Intelligence Medical Compendium

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

Showing 12,891 to 12,900 of 210,785 articles

Performance of IBD machine learning classifiers varies across microbiome training data independent of geographic diversity

bioRxiv May 22, 2026
Microbiome-based machine learning classifiers show increasing promise for disease identification across gastrointestinal, metabolic, and immune-mediated conditions. Inflammatory bowel disease (IBD), a chronic immune-mediated disorder associated with ... read more 
microbiology

Estimating bone marrow adiposity from head MRI and identifying its genetic architecture

medRxiv May 22, 2026
Bone marrow adiposity changes radically through the lifespan, but this phenomenon is poorly characterised and understood in humans. Large datasets of magnetic resonance imaging (MRI) scans of the head have been collected to study the human brain, but... read more 
genetic and genomic medicine

Deep Learning and Machine Learning for Early Detection of Alzheimer's Disease: A Systematic Review and Meta-Analysis

medRxiv May 22, 2026
Alzheimer's disease is a progressive neurodegenerative disorder that poses a growing global public health challenge. Early and accurate diagnosis is critical for effective treatment, clinical trial participation, and disease management. This systemat... read more 
health informatics

Robust Random Forests for Genomic Prediction: Challenges and Remedies

bioRxiv May 22, 2026
Data contamination, from recording errors to extreme outliers, can compromise statistical models by biasing predictions, inflating prediction errors, and, in severe cases, destabilizing performance in high-dimensional settings. Although contamination... read more 
bioinformatics

A digital twin for hospital antimicrobial resistance forecasting and constrained intervention optimisation

medRxiv May 22, 2026
Hospital antimicrobial resistance (AMR) emanates from an array of complex interactions between patient turnover, heterogeneous patient--staff contact patterns, antibiotic-driven within-host selection, and imperfect surveillance. We present a hospital... read more 
public and global health

Evidence-Graded Decision Authorization for Safe Clinical AI: A Constrained Reasoning Framework

medRxiv May 22, 2026
Clinical AI systems have achieved strong predictive performance; however, prediction accuracy is not sufficient for clinical safety. Retrieval-augmented generation (RAG) improves factual accuracy, and general-purpose LLM guardrails constrain surface-... read more 
health informatics

Genetic architecture of high-dimensional liver radiomic phenotypes and their role in common metabolic diseases

medRxiv May 22, 2026
The liver plays a central role in systemic metabolism, yet large-scale genetic studies of quantitative liver imaging phenotypes remain limited. Here, we applied deep learning-based segmentation and radiomics extraction to derive 200 well-defined live... read more 
genetic and genomic medicine

Professionalism Pulse: Development and Validation of a Natural Language Processing Pipeline and Dashboard for Safety Culture Surveillance in NYC Health + Hospitals

medRxiv May 22, 2026
Background: Professionalism and effective communication are foundational determinants of patient safety and quality of care. Unprofessional behaviors frequently serve as active precursors to adverse clinical events. However, proactive organizational ... read more 
health informatics

Retrospective cohort study extracting coexisting background breast-lesion features from stage I-III invasive breast cancer

medRxiv May 22, 2026
Background Background breast features are frequently noted in pathology reports alongside invasive breast cancer but rarely factor into prognosis or treatment decisions. Their relationship to tumor characteristics and patient outcomes remains incompl... read more 
oncology

Biomarker Signal Architecture in Cardiovascular Machine Learning: Stability, Redundancy, and Minimal High-Yield Panels After Myocardial Infarction

medRxiv May 22, 2026
Background: Machine-learning models based on circulating biomarkers are increasingly used in cardiovascular research; however, model performance alone provides limited insight into how the predictive signal is distributed across features. We aimed to... read more 
cardiovascular medicine
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