Artificial Intelligence Medical Compendium

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

Showing 45,741 to 45,750 of 224,055 articles

An agentic AI system enhances clinical detection of immunotherapy toxicities: a multi-phase validation study

medRxiv Mar 2, 2026
Immune-related adverse events (irAEs) affect up to 40% of patients receiving immune checkpoint inhibitors, yet their identification depends on laborious and inconsistent manual chart review. Here we developed and evaluated an agentic large language m... read more 
oncology

Cognition, Lifestyles, and Environments: Quantifying the Roles of Body Physiology and the Brain

medRxiv Mar 2, 2026
Lifestyle and environmental factors such as diet, physical activity, residential greenspace exposure, alcohol consumption, and sleep are increasingly promoted as modifiable targets for maintaining cognitive health and mitigating age-related decline. ... read more 
neurology

Interpretable Fine-tuned Large Language Models Facilitate Making Genetic Test Decisions for Rare Diseases

medRxiv Mar 2, 2026
Clinical decision making often relies on expert judgment guided by established guidelines, which can be challenging to standardize and abstract to implement. For example, selecting between gene panels and whole exome/genome sequencing (WES/WGS) for r... read more 
health informatics

Automated Echocardiographic Detection of Mitral Valve Prolapse and Mitral Regurgitation with Video-based Artificial Intelligence Algorithms

medRxiv Mar 2, 2026
Aims: We aimed to develop and evaluate fully automated artificial intelligence (AI) system. for detection of mitral valve prolapse (MVP) and mitral regurgitation (MR) from echocardiographic studies. Methods and Results: We used a dataset of 24,869 ec... read more 
cardiovascular medicine

Cannabis Use Documentation within the Electronic Health Record: A Use Case for Natural Language Processing Methods

medRxiv Mar 2, 2026
Introduction: Recreational and medical cannabis use (CU) information is often available within the electronic health record (EHR) in a format that is impractical for health care provider use. Transformation of free-text EHR documentation in notes to ... read more 
addiction medicine

The Causal Impact of Natural Language Processing-Driven Clinical Decision Support on Sepsis Mortality in England: An Augmented Synthetic Control Analysis of NHS Trust-Level Data

medRxiv Mar 2, 2026
Background: Sepsis remains a leading cause of preventable hospital mortality in England, with NHS England reporting over 48,000 sepsis-related deaths annually. Natural language processing (NLP)-driven clinical decision support systems (CDSS) have bee... read more 
health informatics

Leveraging large language models to address common vaccination myths and misconceptions

medRxiv Mar 2, 2026
Large language models (LLMs) are increasingly used by the public to seek health information, yet their reliability in addressing common vaccine myths remains unclear. We conducted an exploratory multi-vendor evaluation of three LLMs (GPT-5, Gemini 2.... read more 
health informatics

The NLP-to-Expert Gap in Chest X-ray AI

medRxiv Mar 2, 2026
In previous work, we achieved state-of-the-art performance on ChestX-ray14 (ROC-AUC 0.940, F1 0.821) using pretraining diversity and clinical metric optimization. Applying the same methodology to CheXpert, we received similar results when using NLP v... read more 
radiology and imaging

Understanding Clinician Edits to Ambient AI Draft Notes: A Feasibility Analysis Using Large Language Models

medRxiv Mar 2, 2026
Ambient AI documentation tools generate draft notes that clinicians can review and edit before signing off in electronic health records. Scalable computational approaches to characterize how clinicians modify drafts remain limited, yet are essential ... read more 
health informatics

Predicting visual function before glaucoma onset from baseline optical coherence tomography scans using deep learning

medRxiv Mar 2, 2026
Background: The visual field (VF) test results of many eyes with glaucoma progress despite treatment. This suggests that some eyes are either untreated or that the management of intraocular pressure (IOP) does not influence the outcome. In this work,... read more 
ophthalmology
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