Artificial Intelligence Medical Compendium

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

Showing 39,931 to 39,940 of 223,737 articles

Improving genomic language model reliability under distribution shift

bioRxiv Mar 20, 2026
Transformer-based Genomic Language Models (GLMs) have achieved strong performance across diverse genomic prediction tasks. However, their tendency toward overconfident predictions---particularly on noisy or unfamiliar data---limits reliability. In ge... read more 
bioinformatics

BioReason-Pro: Advancing Protein Function Prediction with Multimodal Biological Reasoning

bioRxiv Mar 20, 2026
Protein function annotation is fundamental to understanding biological mechanisms, designing therapeutics, and advancing biomedical research. Current computational methods either rely on shallow sequence similarity or treat function prediction as iso... read more 
molecular biology

A comprehensive CRISPR screen of the Drosophila glutamate receptome reveals Ekar as a selective regulator of presynaptic homeostatic plasticity

bioRxiv Mar 20, 2026
Homeostatic mechanisms protect synapses from destabilizing challenges throughout an organism's lifespan, ensuring stable yet flexible neural network activity. To delineate the molecular basis of presynaptic homeostatic potentiation (PHP), we conducte... read more 
neuroscience

Clinical Research Collaboration for Stroke in Korea Imaging Repository:A Prospective Multicenter Neuroimaging Repository

medRxiv Mar 20, 2026
Background: Prospective stroke registries have advanced our understanding of cerebrovascular disease, yet most reduce neuroimaging to categorical variables, forfeiting the multidimensional information inherent in clinical imaging. We describe the CRC... read more 
neurology

Opioids Overdose Death Prediction with Graph Neural Networks

medRxiv Mar 20, 2026
The opioid crisis has severely impacted Ohio, with overdose death rates surpassing national averages and disproportionately affecting rural and Appalachian regions. Accurately predicting county-level opioid overdose deaths (OD) is critical for timely... read more 
public and global health

Aggregate benchmark scores obscure patient safety implications of errors across frontier language models

medRxiv Mar 20, 2026
Frontier language models are widely used for health-related queries, yet aggregate benchmark scores do not capture safety implications of errors. We applied the recent Nature Medicine triage benchmark across nine frontier models, comparing directiona... read more 
health informatics

A Novel Dual-Outcome Risk Calculator for Trial of Labor After Cesarean

medRxiv Mar 20, 2026
Objective: To develop and validate a multivariable prediction model and clinically actionable risk score for vaginal birth after cesarean (VBAC) success using machine learning, and to integrate neonatal morbidity outcomes into a decision-analytic fra... read more 
obstetrics and gynecology

From Concept to Clinic: Real World Evidence for Autonomous AI Deployment in Primary Care Telemedicine

medRxiv Mar 20, 2026
Systems powered by large language models are widely used for health information and advice, yet robust evidence for their safety and effectiveness in real-world clinical care remains lacking. Most existing studies evaluate general-purpose chatbots in... read more 
health informatics

A Web Application for Exploring Distribution in Academic Publications Across Geography and Institutions in India

medRxiv Mar 20, 2026
India's national research capacity and infrastructure are unevenly distributed across states and union territories (UTs), contributing to geographic variation in academic publication output. We developed Indiapub, an open-access web application that ... read more 
health informatics

Improving Medicare Fraud Detection Accuracy in Deep Learning by Exploring Feature Selection and Data Sampling Techniques.

medRxiv Mar 20, 2026
Fraud in the health landscape is an aggravating issue, with far-reaching consequences burdening the financial stability of the health industry and threatening the quality of medical care. It results from vulnerabilities within the current healthcare ... read more 
health informatics
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