Artificial Intelligence Medical Compendium

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

Showing 59,231 to 59,240 of 227,876 articles

AI-generated data contamination erodes pathological variability and diagnostic reliability

medRxiv Jan 22, 2026
Generative artificial intelligence (AI) is rapidly populating medical records with synthetic content, creating a feedback loop where future models are increasingly at risk of training on uncurated AI generated data. However, the clinical consequences... read more 
health informatics

Gene-exposure interactions regulate cytokine-mediated chronic inflammation and cardiac remodeling

medRxiv Jan 22, 2026
Background: Chronic inflammation predicts adverse cardiovascular outcomes, but mechanisms linking systemic inflammation to cardiac remodeling remain incompletely understood. We investigated associations between circulating inflammatory biomarkers and... read more 
cardiovascular medicine

Artificial Intelligence-Enabled Echocardiographic Assessment of Right Ventricular Function

medRxiv Jan 22, 2026
Background: Right ventricular (RV) function is an important predictor of morbidity and mortality in various cardiovascular conditions. Nevertheless, its echocardiographic assessment is challenging due to its complex anatomy and location in the chest,... read more 
cardiovascular medicine

Machine learning identifies shared blood transcriptional biomarkers and immune correlates across antiphospholipid syndrome and systemic sclerosis

medRxiv Jan 22, 2026
Antiphospholipid syndrome (APS) and systemic sclerosis (SSc) are immune-mediated multisystem autoimmune diseases with distinct clinical phenotypes but overlapping pathogenic themes, including immune dysregulation, chronic inflammation, and endothelia... read more 
allergy and immunology

Camera-Agnostic Autonomous Diagnosis of Glaucomatous Optic Neuropathy using Macular Fundus Imaging and Machine Learning

medRxiv Jan 22, 2026
Abstract Purpose: Glaucoma, a leading cause of irreversible vision loss, often remains undiagnosed due to its asymptomatic progression and the limitations of existing screening methods. This study aimed to validate an artificial intelligence machine ... read more 
ophthalmology

Retrospective multi-cohort validation of a real-world transcriptomics-guided machine learning model for treatment response prediction in breast cancer

medRxiv Jan 22, 2026
Selection of systemic therapy for breast cancer remains largely empirical, particularly for chemotherapy, due to the lack of robust biomarkers that predict treatment response at the individual patient level. We developed Oncology CoPilot, a real-worl... read more 
oncology

Technical Acquisition Parameters Dominate Demographic Factors in Chest X-ray AI Performance Disparities: A Multi-Dataset External Validation Study

medRxiv Jan 22, 2026
Artificial intelligence systems for chest radiograph interpretation are increasingly deployed in clinical practice, yet current fairness frameworks emphasize demographic subgroup analysis while the relative contribution of technical acquisition param... read more 
radiology and imaging

Freezing Prediction Horizon: Quantifying Advanced Warning for Predicting Freezing of Gait in Parkinson's Disease

medRxiv Jan 22, 2026
Freezing of gait (FoG) prediction is clinically meaningful only when warnings arrive sufficiently early for subsequent action. Therefore, we adopt a Freezing Prediction Horizon (FPH) evaluation that reports prediction performance as a function of the... read more 
neurology

Predicting the need for medical care after toxin exposure using SHAP-interpretable gradient boosting

medRxiv Jan 22, 2026
Objective: Experts in poison control centers must accurately and efficiently assess the severity of an exposure, neither delaying care nor pointlessly sending patients to the hospital, using only the information given during a first phone call. To he... read more 
toxicology

Integrating Quantitative Histology with Clinical Data Improves Prediction of Cervical Intraepithelial Neoplasia Regression

medRxiv Jan 22, 2026
Cervical intraepithelial neoplasia grade 2 (CIN2) lesions show variable outcomes, and accurate prediction of regression remains a major clinical challenge. We developed an interpretable machine learning pipeline that integrates quantitative histologi... read more 
obstetrics and gynecology
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