Artificial Intelligence Medical Compendium

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

Showing 56,251 to 56,260 of 226,846 articles

Diversity of antibiotic resistance genes increases in urbanized lakes: a multi-tool screening

medRxiv Jan 30, 2026
Antimicrobial resistance (AMR) is a growing global public health threat projected to cause up to 10 million deaths annually by 2050 if no immediate action is taken. While misuse and overuse of antibiotics are the main drivers of increasing AMR, the e... read more 
public and global health

AI quantification of inflammatory and architectural features in ulcerative colitis distinguishes active disease from remission

medRxiv Jan 30, 2026
Background and Aims: Artificial intelligence (AI) is increasingly applied to histological assessment in inflammatory bowel disease (IBD), but most approaches quantify features in isolation and ignore their anatomical location within the mucosa. We de... read more 
pathology

Machine Learning-Based Non-Invasive Diagnosis of Anemia in Children Using Palm Image Analysis

medRxiv Jan 30, 2026
Abstract: Anemia, particularly iron-deficiency anemia, is a critical global health concern, with a high prevalence among children under six years of age. Early and non-invasive detection can significantly improve health outcomes. This study proposes ... read more 
hematology

Integrating multi-omic QTLs and predictive models reveals regulatory architectures at immune-related GWAS loci in CD4+ T cells

medRxiv Jan 30, 2026
Functional interpretation is essential for understanding how genetic variants contribute to complex traits. Here, we identified and characterized regulatory variants in CD4+ T cells collected from 362 donors. We integrated molecular QTL mapping from ... read more 
genetic and genomic medicine

Exploring Attitudes and Acceptance of Artificial Intelligence in Multiple Sclerosis from the Patient Perspective

medRxiv Jan 30, 2026
Artificial intelligence (AI) is increasingly being integrated into healthcare, particularly in data-intensive chronic diseases that rely on longitudinal monitoring and shared decision-making. Multiple sclerosis is a prototypical example of such care,... read more 
neurology

LLM-Based Annotation and Token-Augmented Modeling for Emotional Tone Classification in Online Cancer Peer-Support Posts

medRxiv Jan 30, 2026
Online cancer peer-support communities generate large volumes of patient-authored and caregiver-authored text that may reflect distress, coping, and informational needs. Automated emotional tone classification could support scalable monitoring, but s... read more 
oncology

Endoleak Prediction After EVAR: A Point Cloud Neural Network Framework Enhanced by Computational Fluid Dynamics and Multi-Features

medRxiv Jan 30, 2026
Background: Endovascular aortic aneurysm repair (EVAR) is effective in preventing rupture of abdominal aortic aneurysm (AAA), but endoleak remains a serious postoperative complication. Accurate prediction of endoleak risk is a significant clinical ch... read more 
cardiovascular medicine

Generation of Synthetic Data in Health Surveys Using Large Language Models

medRxiv Jan 30, 2026
Background: Generating synthetic data using artificial intelligence, such as large language models (LLMs), is a useful strategy in public health because it can reduce time and costs, expand access to data, and facilitate information sharing without c... read more 
health informatics

Developing and externally validating machine learning models to forecast short-term risk of ventilator-associated pneumonia

medRxiv Jan 30, 2026
Purpose: Ventilator-associated pneumonia (VAP) remains one of the most serious hospital-acquired infections in the intensive care unit (ICU), with high morbidity and mortality. Early identification of patients at risk for developing VAP could enable ... read more 
intensive care and critical care medicine

A multimodal AI biomarker PATH-ORACLE improves prediction of recurrence in stage I lung adenocarcinoma

medRxiv Jan 30, 2026
The standard treatment for stage I lung adenocarcinoma is surgical resection, in most cases without additional systemic adjuvant treatment. A significant proportion of stage I cases recur with a less than 50% 5-year survival rate. There are clinical ... read more 
oncology
Popular Topics
Recent Journals