Artificial Intelligence Medical Compendium

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

Showing 3,991 to 4,000 of 203,626 articles

Conformal Prediction and Ensemble Learning for Uncertainty-Aware ICU Mortality Stratification

medRxiv Jun 2, 2026
Background. Conventional ICU severity scores - SOFA, qSOFA, and APACHE-II - use additive integer weightings that cannot capture non-linear organ failure interactions; prospective validations consistently report AUC near 0.73. None quantifies predicti... read more 
health informatics

Can synthetic data overcome the privacy and fidelity bottleneck in Pharmacometrics? A comparative benchmark using a daptomycin population pharmacokinetic model

medRxiv Jun 2, 2026
Abstract Introduction The sharing of individual patient data is essential for advancing pharmacometrics but is strictly limited by privacy regulations (e.g., GDPR). While synthetic data generation offers a legally compliant alternative, its structura... read more 
pharmacology and therapeutics

Cost-Effectiveness and Cost-Utility of a Colon Capsule Endoscopy in a Population-Based Screening Program for Colorectal Cancer

medRxiv Jun 2, 2026
Background: Colon capsule endoscopy (CCE) has been proposed as a non-invasive alternative to colonoscopy for colorectal cancer (CRC) screening, offering greater patient comfort and potentially reducing healthcare burden. However, its cost-effectivene... read more 
health policy

Calibrated and Interpretable Machine Learning for ICU Mortality Prediction Using First 24-Hour Clinical Data

medRxiv Jun 2, 2026
Objective: To develop, calibrate, and interpret machine learning models for predicting in-hospital mortality among intensive care unit (ICU) patients using clinical data collected during the first 24 hours of admission. Methods: We analyzed 53,866 ad... read more 
health informatics

Augmenting Structured Diagnoses through Effective Use of Pre-trained Large Language Models on Clinical Notes

medRxiv Jun 2, 2026
Objective Clinical narrative provides a unique window into provider reasoning and attribution, but use has been limited by resource requirements and extensive fine-tuning, and LLMs in particular have traditionally not performed well at medical coding... read more 
health informatics

Phenotypic Profiles of Suicidal Ideation in Obsessive-Compulsive Disorder: An Interpretable Machine Learning Approach

medRxiv Jun 2, 2026
Suicidal ideation in obsessive-compulsive disorder (OCD) is common and clinically significant, yet much of the existing literature conceptualizes suicide risk through the lens of comorbid depressive symptomatology. The present study examined whether ... read more 
psychiatry and clinical psychology

Smart AI-Powered Machine Learning Risk Assessment for Early Osteoporosis Detection for Women Bone Health

medRxiv Jun 2, 2026
Osteoporosis is often called a silent disease because it progresses without symptoms until a fracture occurs, posing a serious, yet frequently overlooked, threat to women health. In response to the pressing need for early detection, we introduce Oste... read more 
orthopedics

Enhanced precision of tensor electrocardiography through increased cumulative distribution function resolution: Validation in healthy individuals

medRxiv Jun 2, 2026
Deep-learning ECG analysis is advancing rapidly but lacks stable, physiologically interpretable indicators to anchor explainable artificial intelligence (AI). Tensor cardiography (TCG) models electrocardiographic (ECG) waveforms as differences betwee... read more 
cardiovascular medicine

Neovascular Glaucoma at a Tertiary Centre in Finland, 2008-2024: A Retrospective Cohort Study

medRxiv Jun 2, 2026
Background/Aims: Neovascular glaucoma (NVG) is an aggressive secondary glaucoma with limited longitudinal data. This study reports the aetiologies, treatments, and longitudinal outcomes in NVG. Methods: Patients with NVG were identified through elect... read more 
ophthalmology

Knowledge-Driven Neuro-Symbolic Reasoning for Personalized Oncology Treatment Recommendation Based on Multi-Modal Medical Knowledge Graph

medRxiv Jun 2, 2026
Personalized oncology treatment recommendation is a critical clinical task that requires in-tegrating complex, multi-modal patient data with established medical knowledge to ensure both accuracy and safety. While deep learning models excel at capturi... read more 
health informatics
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