Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 216,842 articles

Generative AI Use for Mental Health Support: Patterns, Correlates, and Impact among Canadian Students

medRxiv Aug 5, 2026
Background. General purpose generative AI (GenAI) chatbots are increasingly used by students for mental health support. Research on prevalence estimates vary widely, rarely link use to validated clinical measures, and have not been reported in a Cana... read more 
psychiatry and clinical psychology

AI-guided discovery of antimicrobial peptides for urinary tract infections leveraging a new catalogue of the human urinary microbiome

bioRxiv Aug 5, 2026
Urinary tract infections (UTIs) are common infections that pose a critical burden on healthcare and society. Despite growing recognition that the human urinary tract harbors its own microbiome, its composition, functional potential, and alterations i... read more 
microbiology

CryoLigATE: enhancing the resolvability of cryo-EM maps in protein-ligand complexes using deep learning

bioRxiv Aug 5, 2026
Cryo-electron microscopy (cryo-EM) has become a central tool for structure-based drug discovery, yet ligand-binding sites often remain substantially less well resolved than the surrounding protein, limiting reliable atomic interpretation. Although de... read more 
biophysics

Schema-Grounded Multitask Instruction Fine-tuning for Joint Biomedical Named Entity Recognition and Relation Extraction in Pharmacovigilance

bioRxiv Aug 6, 2026
Motivation: Pharmacovigilance relies on accurate extraction of structured biomedical entities and their semantic relationships from scientific literature. However, most biomedical information extraction systems address named entity recognition (NER) ... read more 
pharmacology and toxicology

scMaize: A Single-Cell Foundation Model and Integrated Atlas for Maize

bioRxiv Aug 5, 2026
Single-cell transcriptomics has resolved cell type-specific gene expression in plants, yet maize still lacks an integrated reference and species-specific foundation models. We present scMaize, which combines scMaizeAtlas, an integrated atlas of 385,6... read more 
plant biology

MTS-Bench: A Manchester Triage System Benchmark for Language Model Triage Safety

medRxiv Aug 5, 2026
Background: General purpose language models such as ChatGPT are increasingly used by physicians and triage nurses during emergency triage. A recent study reported 51.6% undertriage of emergencies when patients queried ChatGPT directly (Ramaswamy et a... read more 
emergency medicine

Diagnostic Accuracy of a locally deployed Large Language Model Algorithm for Automated Code Stroke Pathway Identification in Emergency Department Triage Notes

medRxiv Aug 5, 2026
Background: Delayed Code Stroke activation contributes to worse outcomes in acute stroke. Emergency Department (ED) triage notes contain free-text clinical information that could enable automated, real-time pathway activation. We evaluated the diagno... read more 
neurology

BioDeformUNet: A Deep Learning Model for Biomechanically Informed Liver Image Registration

medRxiv Aug 5, 2026
Purpose: To build a 3D U-Net model, BioDeformUNet, to predict the deformation vector field (DVF) of the liver in near real-time, for efficient intra-procedural evaluation of the minimal ablative margin (MAM). Materials and Methods: This retrospective... read more 
radiology and imaging

Towards Accessible Radiological Image Analysis via Local Agentic Framework: Validation in Mammography

medRxiv Aug 5, 2026
Existing radiological artificial intelligence (AI) systems are difficult to modify, validate, and adapt to new clinical applications. We present a large language model (LLM)-driven agentic framework capable of reconstructing, optimizing, and customiz... read more 
radiology and imaging

Robustness of Deep Learning Segmentation Across Heterogeneous Uterine MRI Datasets: A Multi-Task Comparison of U-Net, Swin-UNETR, MedNeXt, and nnU-Net

medRxiv Aug 5, 2026
PurposeTo evaluate how segmentation architecture and dataset-adaptive configuration influence uterine MRI segmentation across heterogeneous benign and malignant tasks. MethodsU-Net, Swin-UNETR, and MedNeXt were compared with nnU-Net as a self-config... read more 
radiology and imaging
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