Artificial Intelligence Medical Compendium

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

Showing 56,261 to 56,270 of 226,846 articles

Determinants of Digital Health Technology Acceptance Among Healthcare Caregivers: A Structural Equation Modeling Approach

medRxiv Jan 30, 2026
Background: Digital health technologies, including artificial intelligence (AI)-powered tools and virtual reality (VR) interventions, are increasingly being deployed to support caregivers of patients with chronic conditions. However, the factors infl... read more 
health informatics

AI-Enabled Privacy-Preserving Cardiac Diagnostics via Electrocardiograms

medRxiv Jan 30, 2026
Electrocardiogram (ECG) is a widely available, non-invasive diagnostic tool used for cardiovascular screening and provides essential insights into heart rhythm, structure, and function. However, the high dimensionality of ECGs and their entanglement ... read more 
health informatics

AcceleRest: A Physiology-Aware Masked Autoencoder for Wrist Accelerometer-based Sleep Staging and Apnea Evaluation

medRxiv Jan 30, 2026
Sleep is essential for physical and mental health, yet large-scale assessment of sleep stages and sleep apnea is limited by the cost and burden of clinical polysomnography. Wrist accelerometry provides a scalable lower-fidelity alternative, but its u... read more 
health informatics

Targeted saliva multi-omics is a reliable, non-invasive method to capture physiological stress and recovery

medRxiv Jan 30, 2026
Determining physiological stress at high resolution is crucial across diverse settings to enable informed decision-making in the context of health and disease. Saliva-based targeted multi-omics testing provides a powerful, non-invasive method to quan... read more 
sports medicine

Real-World Data for Predicting Rapid Relapse Triple Negative Cancer: A Study Using NCDB and EHR Data

medRxiv Jan 30, 2026
Background: Many patients with triple-negative breast cancer (TNBC), particularly those who are older, Black, or insured by Medicaid, do not receive guideline-concordant treatment, despite its association with up to 4x higher survival. Early identifi... read more 
oncology

An AI-Integrated Framework for Precision Genomics in Coronary Artery Disease Using Whole Exome and Phenotypic Data

medRxiv Jan 30, 2026
Coronary artery disease (CAD) is a multifactorial condition influenced by genetic, phenotypic, and environmental factors. Traditional risk prediction models fall short in capturing the polygenic complexity of CAD, particularly in underrepresented pop... read more 
genetic and genomic medicine

Assessing AI tool use in among New York State clinicians

medRxiv Jan 30, 2026
Artificial intelligence (AI) is dramatically changing the healthcare landscape by providing patients, clinicians, administrators, and public health professionals with tools aiming to improve efficiency, outcomes, and experience in health. As elsewher... read more 
primary care research

Identifying and Characterizing Gallstone Disease from Clinical Narratives with Zero-shot Learning and Automated Prompt Optimization

medRxiv Jan 30, 2026
We built and evaluated a zero-shot LLM pipeline with automated, task-aware prompt optimization to extract radiology and symptom fields for gallstone phenotyping from de-identified EHR text. Across symptomatic, asymptomatic, and control cohorts, it pe... read more 
health informatics

Development and implementation of an AI system for clinical toxicology sign-outs

medRxiv Jan 30, 2026
Modern natural language tools have potential to improve clinical workflows, but few have been successfully deployed in practice. Here, we present the development, deployment, and evaluation of an AI language tool for generating preliminary clinical s... read more 
toxicology

The Impact of a Neuroradiologist on the Report of a Real-World CT Perfusion Imaging Map Derived from Artificial Intelligence/Machine Learning-Driven Software.

AJNR. American journal of neuroradiology Jan 30, 2026
BACKGROUND AND PURPOSE: According to the guideline, CT perfusion should be read and analyzed by using computer-aided software. This study evaluates the efficacy of artificial intelligence (AI)/machine learning-driven software in CTP imaging and the e... read more 
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