Artificial Intelligence Medical Compendium

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

Showing 47,351 to 47,360 of 224,199 articles

OligoGraph: A novel geometric graph-based approach for siRNA efficacy prediction

bioRxiv Feb 24, 2026
RNA interference (RNAi) is a biological process in which a small interfering RNA (siRNA) prevents the translation of a messenger RNA (mRNA) into a protein by cleaving the mRNA before translation. We exploit this process to prevent the formation of ha... read more 
bioinformatics

Thermal stress drives seagrass fragmentation in the Mediterranean Sea

bioRxiv Feb 24, 2026
Posidonia oceanica meadows, which underpin Mediterranean coastal ecosystems, are undergoing accelerated decline, partly driven by thermal stress. While previous quantitative studies have identified temperature thresholds beyond which seagrass mortali... read more 
ecology

RevelioPlots: An Interactive Web Application for Fast AI-Based Protein Models Quality Assessment

bioRxiv Feb 24, 2026
High-accuracy protein structure prediction by deep learning requires rigorous model quality assessment, a process currently hampered by fragmented, non-interactive tools designed for older experimental data formats. We present RevelioPlots, an open-s... read more 
bioinformatics

Biomedical Large Language Models and Prompt Engineering for Causality Assessment of Individual Case Safety Reports in Pharmacovigilance

medRxiv Feb 24, 2026
Background: Biomedical Large Language Models (LLMs) combined with prompt engineering offer domain-specific reasoning, yet their application to individual-level causality assessment remains unexplored. This study evaluated five combinations of biomedi... read more 
pharmacology and therapeutics

Restoring brain-to-text communication in a person with dysarthria from pontine stroke using an intracortical brain-computer interface

medRxiv Feb 24, 2026
Restoring communication for people with dysarthria secondary to pontine stroke remains a critical challenge. Intracortical brain-computer interfaces (iBCIs) have demonstrated great potential for speech restoration in people with amyotrophic lateral s... read more 
neurology

Impact of an ambient digital scribe on typing and note quality: the AutoscriberValidate study

medRxiv Feb 24, 2026
Background: Typing in the electronic health record (EHR) takes up healthcare providers' time and cognitive space and constitutes a substantial administrative burden contributing to high burnout rates in healthcare. Ambient digital scribes may improve... read more 
health informatics

Multimodal Deep Learning for Structural Heart Disease Prediction from ECG and Clinical Data

medRxiv Feb 24, 2026
This research presents multimodal deep learning for structural heart disease prediction. We evaluated multiple deep learning architectures, including TCN, Simple CNN, ResNet1d18, Light transformer and Hybrid model. The models were examined across the... read more 
cardiovascular medicine

How Agent Role Structure Alters Operating Characteristics of Large Language Model Clinical Classifiers: A Comparative Study of Specialist and Deliberative Multi-Agent Protocols

medRxiv Feb 24, 2026
Large language models (LLMs) are increasingly evaluated for structured clinical decision support tasks, often using multi-agent architectures. Prior work has compared single-agent and multi-agent inference. However, the effect of internal role struct... read more 
health informatics

An Integrated Deep Learning Framework for Small-Sample Biomedical Data Classification: Explainable Graph Neural Networks with Data Augmentation for RNA sequencing Dataset

medRxiv Feb 24, 2026
Applying deep learning models to RNA-Seq data poses substantial challenges, primarily due to the high dimensionality of the data and the limited sample sizes. To address these issues, this study introduces an advanced deep learning pipeline that inte... read more 
genetic and genomic medicine

Evaluating the AI Potential as a Safety Net for Diagnosis: A Novel Benchmark of Large Language Models in Correcting Diagnostic Errors

medRxiv Feb 24, 2026
Background: Diagnostic errors are a leading cause of preventable patient harm, often occurring during early clinical encounters where diagnostic uncertainty is maximal. Large language models (LLMs) have shown potential in medical reasoning, yet their... read more 
health systems and quality improvement
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