Artificial Intelligence Medical Compendium

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

Showing 38,501 to 38,510 of 223,469 articles

Human-supervised, large language model-based clinical decision support aligned to national newborn protocols in Kenya: a pragmatic, early-stage evaluation

medRxiv Mar 25, 2026
Introduction: Timely, protocol-adherent clinical decisions are crucial for reducing neonatal mortality in low-resource settings. Translating extensive national guidelines into bedside practice remains challenging. Objective: We developed and evaluate... read more 
health informatics

Cross-Scanner Reliability of Brain MRI Foundation Model Embeddings: A Travelling-Heads Study

medRxiv Mar 25, 2026
Foundation models (FMs) for brain magnetic resonance imaging (MRI) are increasingly adopted as pretrained backbones for clinical tasks such as brain age prediction, disease classification, and anomaly detection. However, if FM embeddings (internal re... read more 
radiology and imaging

Fully Automated Abstraction of Longitudinal Breast Oncology Records with Off-The-Shelf Large Language Models

medRxiv Mar 25, 2026
Background: Manual chart abstraction is a major bottleneck in clinical research. In oncology, important outcomes such as disease recurrence and the treatment history are often only documented in clinical notes, limiting the scale and quality of obser... read more 
oncology

The Generative AI Meta-Evaluation (GAME) Study Framework: Global, Regional, and Country-Specific Unequal Difficulty of High BMI Intervention

medRxiv Mar 25, 2026
Background High body mass index (BMI) presents a serious and ongoing global health challenge. However, the difficulty of high BMI intervention has not yet been systematically evaluated. Methods We developed a Generative Artificial Intelligence Meta-E... read more 
public and global health

AI-driven selection of patients with non-valvular atrial fibrillation for oral anticoagulation therapy: a multi-cohort validation and impact evaluation study

medRxiv Mar 25, 2026
Background: Current risk assessment tools for guiding direct oral anticoagulant (DOAC) therapy for patients with atrial fibrillation (AF) based on clinical risk factors demonstrate modest predictive performance limiting clinical impact. Additionally,... read more 
cardiovascular medicine

Medical errors in large language models revealed using 1,000 synthetic clinical transcripts

medRxiv Mar 25, 2026
Current clinical evaluations of large language models (LLMs) rely on datasets which fail to reflect real-world medical complexity. We developed a high-throughput simulation of patients presenting with headache and generated 1,000 doctor-patient trans... read more 
health informatics

Identification of letters distorted by physiologically-inspired spatial scrambling

bioRxiv Mar 25, 2026
In the geniculostriate pathway of the human visual system, neuronal projections carry signals from a particular retinal locus in parallel from one anatomical area to the next. Imprecision in the fidelity of these projections would place constraints o... read more 
neuroscience

VIOLIN: A modular framework for scalable reconciliation of heterogeneous interaction graphs

bioRxiv Mar 25, 2026
Automated extraction of molecular interactions from scientific literature has outpaced the development of systematic methods for integrating this information with curated models and knowledge graphs. Here we present VIOLIN (Versatile Interaction Orga... read more 
systems biology

Mosaic integration of spatial multi-omics with SpaMosaic

bioRxiv Mar 25, 2026
With the advent of spatial multi-omics, mosaic integration of diverse datasets with partially overlapping modalities enables construction of comprehensive multi-modal spatial atlases from heterogeneous sources. Here, we present SpaMosaic, a tool that... read more 
bioinformatics

Tokenization to Transfer: Do Genomic Foundation Models Learn Good Representations?

bioRxiv Mar 25, 2026
The success of Large Language Models has inspired the development of Genomic Foundation Models (GFMs) through similar pretraining techniques. However, the relationship between pretraining performance and effectiveness in downstream genomic tasks rema... read more 
genomics
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