Artificial Intelligence Medical Compendium

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

Showing 12,221 to 12,230 of 210,314 articles

An Experimental Investigation of the Relationship between AI-Human Workflow Design and Legal Liability for Radiologists: The Erroneous-Change Penalty and Omission Bias

medRxiv May 22, 2026
Background: With growing impetus to integrate artificial intelligence (AI) tools into radiology, clinical practices must navigate workflow redesign. This carries implications for medical malpractice liability. Methods: We conducted an online vignette... read more 
radiology and imaging

Integrated Machine Learning-PanGWAS Reveals Chromosome-Encoded Persistence Networks and Plasmid Plasticity in Recurrent Urinary Tract Infection in Escherichia coli

medRxiv May 22, 2026
Background: Recurrent urinary tract infections(rUTI) represent a major clinical challenge due to persistent clinical symptoms, repeated antibiotic exposure, and increased risk of multidrug resistance. Further clinical management of rUTI remains chall... read more 
infectious diseases

Machine-Assisted Topic Analysis of Large-Scale Health Experience Data: Identifying Sociodemographic Differences and Evaluating Bias in Large Language Models

medRxiv May 22, 2026
Introduction: Large-scale free-text data with socio-demographic information can capture nuanced accounts of lived experience that are difficult to detect in structured measures. However, manual qualitative analysis is difficult to scale, while automa... read more 
public and global health

MASHA: A Multi-Agent System for Healthcare Sentiment Analysis Using AI for Migraine Detection in Arabic Tweets

medRxiv May 22, 2026
Migraine detection and sentiment analysis in healthcare have become increasingly important, particularly with the rise of social media platforms like Twitter, where users often share their personal health experiences. This study presents MASHA (Multi... read more 
health informatics

Deep Learning and Machine Learning for Early Detection of Alzheimer's Disease: A Systematic Review and Meta-Analysis

medRxiv May 22, 2026
Alzheimer's disease is a progressive neurodegenerative disorder that poses a growing global public health challenge. Early and accurate diagnosis is critical for effective treatment, clinical trial participation, and disease management. This systemat... read more 
health informatics

Task-Parametrized Dynamics: Representation of Time and Decisions in Recurrent Neural Networks

bioRxiv May 22, 2026
How do recurrent neural networks (RNNs) internally represent elapsed time to initiate responses after learned delays? To address this question, we trained RNNs on delayed decision-making tasks with progressively increasing temporal demands, including... read more 
neuroscience

Identifying Key Predictors of Smoking Cessation Success: Text-Based Feature Selection Using a Large Language Model.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco May 22, 2026
INTRODUCTION: The most effective way to reduce mortality and morbidity among current smokers is to quit smoking. Although about half of smokers attempted to quit, only one-tenth succeeded in 2022. Understanding key predictors of smoking cessation suc... read more 

ChatGPT-4's Consistency, Specificity, and Inclusion of Behavior Change Techniques in Delivering Smoking Cessation Advice in Traditional Chinese: A Content Analysis.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco May 22, 2026
INTRODUCTION: While ChatGPT has shown promise in health domains, its application in smoking cessation, particularly in non-English contexts, remains underexplored. This study assessed the consistency, specificity, and inclusion of behavior change tec... read more 

Integration of single-cell regulon atlas and bulk RNA-seq for individualized prognostic prediction in stomach adenocarcinoma.

iScience May 22, 2026
Transcriptional regulators reflect cellular heterogeneity and are key for prognostic modeling. Given the poor prognosis of stomach adenocarcinoma (STAD), regulator-derived signatures are vital for risk stratification. Using multi-stage scRNA-seq data... read more 

Development, validation, and implementation of the antibody-secreting cell maturity index: Universal prediction of human plasma cell maturity.

iScience May 22, 2026
Defining the maturity of long-lived antibody-secreting cells (ASCs) is important for vaccine optimization and research into autoimmune diseases, but current assessment of plasma cell maturity is limited. We developed a universal, robust method to def... read more 
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