Artificial Intelligence Medical Compendium

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

Showing 40,471 to 40,480 of 223,737 articles

Performance of Large Language Models in Automated Medical Literature Screening: A Systematic Review and Meta-analysis

medRxiv
Abstract Objective To systematically evaluate the diagnostic performance of large language models (LLMs) in automated medical literature screening and to determine their potential role in supporting evidence synthesis workflows. Methods A systematic ... read more 

Machine Learning Enabled Smartphone CRISPR-Cas12a Lateral Flow Platform for Sensitive Detection of Circulating HPV DNA

medRxiv
Persistent infection with high-risk human papillomavirus (HPV) is the primary cause of cervical cancer and other HPV-related malignancies. Effective screening and early detection of HPV, particularly in point-of-care (POC) settings, can reduce diseas... read more 

Spatiotemporal Patterns and Climate-Driven Forecasting of Scrub Typhus: Evidence from South India.

medRxiv
Scrub typhus remains a persistent public health concern with strong spatial and temporal variability. This study analyses the spatio-temporal distribution, clustering patterns, and forecasting of scrub typhus across five districts, Chittoor, Ranipet,... read more 

Beyond AI Psychosis and Sycophancy: Structural Drift as a System-Level Safety Failure

medRxiv
Background: Conversational AI safety systems are primarily evaluated using message-level content monitoring, which assesses inputs and outputs in isolation. This message-by-message approach can miss interaction-level risks that emerge over extended c... read more 

From Protocol to Analysis Plan: Development and Validation of a Large Language Model Pipeline for Statistical Analysis Plan Generation using Artificial Intelligence (SAPAI)

medRxiv
Background: Statistical Analysis Plans (SAPs) are essential for trial transparency and credibility but are resource-intensive to produce. While Large Language Models (LLMs) have shown promise in drafting protocols, their ability to generate high-qual... read more 

From Carb Counting to Diagnosis: Real World Patient Uses and Attitudes Toward Large Language Models in Diabetes Management

medRxiv
Managing diabetes-related conditions is time-intensive and cognitively demanding for patients and caregivers, requiring ongoing glucose monitoring, dietary regulation, physical activity planning, and continuous lifestyle adaptation. With the emergenc... read more 

An AI-Driven Decision-Support Tool for Triage of COVID-19 Patients Using Respiratory Microbiome Data

bioRxiv
Accurate clinical triage is critical for optimizing decision-making and resource allocation during infectious disease outbreaks such as COVID-19. In this study, we present an AI-driven decision-support tool for the triage of COVID-19 patients based o... read more 

Coupled Solvent and Protein Dynamics Confer Differences in Exon-19 Deletion Mutants of the Epidermal Growth Factor Receptor Kinase

bioRxiv
Deletions in Exon-19 of the epidermal growth factor receptor (EGFR) play a pivotal role in the pathogenesis of non-small cell lung cancer (NSCLC), influencing patient response to tyrosine kinase inhibitors (TKIs). Although these mutations are known t... read more 

A neural network with key-value episodic memory retrieves and organizes memories based on causal event structures

bioRxiv
Humans reflect on memories to make sense of ongoing events. Past work has shown that people retrieve causally related memories during comprehension, but the mechanisms underlying this process remain unclear. Here, we used a recurrent neural network a... read more 

Computational Fluid Particle Dynamics-Informed Machine Learning Prototype for a User-Centered Smart Inhaler Enabling Uniform Drug Delivery to Small Airways

bioRxiv
Small airways are the primary sites of airflow obstruction in chronic obstructive pulmonary disease. Effective delivery of aerosolized drug particles to these regions is crucial to maximize treatment efficacy while minimizing side effects. However, c... read more