Artificial Intelligence Medical Compendium

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

Showing 12,211 to 12,220 of 210,314 articles

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

Geographical targeting of active case finding for tuberculosis in Pakistan using artificial intelligence software (SPOT-TB): a pragmatic stepped wedge cluster randomized control trial.

medRxiv May 22, 2026
Background Community-wide active case-finding (ACF) is being increasingly implemented as a tuberculosis (TB) elimination intervention. However, conventional site selection strategies may result in low yields from screening. We evaluated whether an ar... read more 
infectious diseases

Design and Validation of an AI-Assisted Sequential Screening Framework for Psychological Distress in Glaucoma

medRxiv May 22, 2026
Purpose: Psychological distress is highly prevalent in glaucoma and is associated with worse adherence, reduced quality of life, and faster disease progression. However, distress is rarely assessed in ophthalmology settings due to time, workflow, and... read more 
ophthalmology

Evaluating Large Language Models for Translating Multimodal Phenotype Documentations into Executable EHR Phenotyping Algorithms

medRxiv May 22, 2026
Research applications of electronic health record (EHR) phenotypes require translating clinical definitions into executable EHR database queries, a labor-intensive process. We evaluated two frontier large language models across five phenotypes and th... read more 
health informatics

Predicting Substance Use and Psychotic-Like Experiences in Adolescents

medRxiv May 22, 2026
Adolescence is a critical developmental window for the emergence of substance use and psychosis-spectrum symptoms, yet early risk for these outcomes remains poorly understood. Using longitudinal data from the Adolescent Brain Cognitive Development (A... read more 
psychiatry and clinical psychology
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