Artificial Intelligence Medical Compendium

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

Showing 45,051 to 45,060 of 224,055 articles

Large language models for self-administered conversational vignette assessment of provider competencies: A pilot and validation study in Vietnam with automated LLM-powered transcript classification

medRxiv Mar 4, 2026
We developed and validated a self-administered clinical vignette platform powered by a large language model (LLM), deployed through a SurveyCTO web survey, to measure primary health care provider competencies in Vietnam. In a pilot focus group, nine ... read more 
health economics

Show Your Work: Verbatim Evidence Requirements and Automated Assessment for Large Language Models in Biomedical Text Processing

medRxiv Mar 4, 2026
Purpose: Large language models (LLMs) are used for biomedical text processing, but individual decisions are often hard to audit. We evaluated whether enforcing a mechanically checkable "show your work" quote affects accuracy, stability, and verifiabi... read more 
health informatics

Personalized Insights Derived from Wearable Device Data and Large Language Models to Improve Well-Being

medRxiv Mar 4, 2026
Health behaviors such as physical activity and sleep affect mental health, but the effect of each health behavior varies substantially across individuals, limiting the usefulness of generic behavioral recommendations. We collected one year of continu... read more 
health informatics

Trustworthy personalized treatment selection: causal effect-trees and calibration in perioperative medicine

medRxiv Mar 4, 2026
Background Personalized medicine promises to tailor treatments to the individual, but it carries a hidden risk: mistaking statistical noise for actionable clinical insight. Current machine learning approaches often provide predictions, but fail to in... read more 
health informatics

Two-step deep-learning candidemia prediction model using two large time-sequence electronic health datasets

medRxiv Mar 4, 2026
Background Candidemia is a rare but life-threatening bloodstream infection that remains difficult to predict using conventional risk stratification approaches, highlighting the need for improved predictive strategies. As a result, empiric antifungal ... read more 
infectious diseases

Streamlining Eligibility Assessment for Alzheimers Disease-Modifying Therapies: Prediction of MMSE Scores Using the Digital Clock and Recall

medRxiv Mar 4, 2026
Introduction: The eligibility of anti-amyloid disease-modifying therapies (DMTs) and their integration into clinical practice in some institutions requires a specific range of Mini-Mental State Examination (MMSE) scores. Reliance on this pencil-and-p... read more 
neurology

Automated Phenotyping of Mitral Stenosis Using Deep Learning

medRxiv Mar 4, 2026
Background and Aims: Accurate classification of mitral stenosis (MS) remains a significant clinical challenge. This study aimed to develop an artificial intelligence (AI) framework to automatically detect clinically significant MS from echocardiograp... read more 
cardiovascular medicine

Evaluating a Locally Deployed 20-Billion Parameter Large Language Model for Automated Abstract Screening in Systematic Reviews

medRxiv Mar 4, 2026
Abstract Background: Systematic reviews (SRs) are essential for evidence-based medicine but require extensive time and resources for abstract screening. Large language models (LLMs) offer potential for automating this process, yet concerns about data... read more 
health informatics

Perceptions of Artificial Intelligence in the Editorial and Peer Review Process: A Cross-Sectional Survey of Traditional, Complementary, and Integrative Medicine Journal Editors

medRxiv Mar 4, 2026
Background: Artificial intelligence chatbots (AICs) are increasingly being integrated into scholarly publishing, with the potential to automate routine editorial tasks and streamline workflows. In traditional, complementary, and integrative medicine ... read more 
health informatics

Enhanced Insights into Alcohol Use Disorder from Lifestyle, Background, and Family History in a Large-Scale Machine Learning Study

medRxiv Mar 3, 2026
Alcohol Use Disorder (AUD) is a multifactorial condition with severe individual and societal impacts. Extending our 2024 study, this work examines lifestyle, background, and family history determinants of AUD using an expanded dataset from the All of... read more 
public and global health
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