Artificial Intelligence Medical Compendium

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

Showing 3,061 to 3,070 of 202,937 articles

To RAG, or Not to RAG? A Comparative Evaluation of Retrieval-Augmented Generation for ICD Coding of German Tumor Diagnoses

medRxiv Jun 3, 2026
Introduction Coding tumor diagnoses from free-text clinical documentation currently requires substantial manual effort. Promising approaches for automating this process include large language mod-els (LLMs), embedding models, and retrieval-augmented ... read more 
health informatics

Health Care Students/Professionals Perspectives on Artificial Intelligence: Survey in Erbil, Iraq

medRxiv Jun 3, 2026
Abstract Background: Artificial Intelligence (AI) is increasingly integrated into healthcare systems worldwide and medical schools worldwide have begun integrating AI into their curricula. The healthcare system in Iraq is currently undergoing develop... read more 
medical education

Self-Reported Side Effects Among Reddit Users Taking Unapproved Retatrutide

medRxiv Jun 3, 2026
Gray-market retatrutide use is increasing, but patient safety experiences remain poorly characterized. This cross-sectional analysis examined Reddit posts and comments from retatrutide-specific and broader peptide or weight-management communities thr... read more 
health informatics

Performance of Vision-Language Models for Zero-Shot Lung Nodule Detection on Chest Radiographs

medRxiv Jun 3, 2026
Background and Objectives: The ability of vision-language models (VLMs) to detect lung nodules on chest radiographs remains uncertain. This retrospective study aimed to compare the zero-shot performances of six VLMs for lung nodule detection using da... read more 
radiology and imaging

Deep Longitudinal Clusters of Type 2 Diabetes Pathophysiology and their Risk of Cardiovascular Disease Events and All-Cause Mortality

medRxiv Jun 3, 2026
Objective: Despite the complex and non-linear progression of diabetes, its shared pathways with atherosclerotic cardiovascular disease (ASCVD) are conventionally described using models based on single time points. We identified longitudinal diabetes ... read more 
endocrinology

MealRes-Gate: Forecasting Glucose Dynamics from CGM and Sparse Meal Logs Using Residual-Gated Multimodal Transformer

medRxiv Jun 3, 2026
Continuous glucose monitoring (CGM) enables personalized metabolic health support, but forecasting glucose in free-living settings remains challenging because future trajectories depend on both endogenous dynamics and sparsely recorded meals. We deve... read more 
health informatics

Prognostic performance of an AI-based recurrence risk model in clinically low-risk HR+/HER2- early breast cancer

medRxiv Jun 3, 2026
Objective Accurate prognostication of recurrence risk in HR+/HER2- early breast cancer is central for therapeutic decision-making, including identifying patients who may safely avoid adjuvant systemic therapy. However, the performance of existing pro... read more 
oncology

Comfort with AI for HIV Prevention Among Cisgender Women in New York City

medRxiv Jun 3, 2026
Background: Long-acting pre-exposure prophylaxis (PrEP) expands HIV prevention options for women. However, PrEP impact depends on addressing persistent gaps in awareness, access, and use. Artificial intelligence (AI) tools, including conversational a... read more 
health informatics

Leveraging Digitization, Archiving and Artificial Intelligence to Re-examine Predictors of Sustained Mental Health Care Engagement in Ugandan First-Episode Psychosis Patients: A Study Protocol

medRxiv Jun 3, 2026
Background: We previously examined the burden and predictors of sustained mental health care engagement in Ugandan first episode psychosis patients by retrospective chart review methods. However, the extensive requirements of chart reviews meant that... read more 
psychiatry and clinical psychology

Simple cumulative weighting of routine surveillance data identifies epidemic wave origins more accurately than a large language model: evidence from eight COVID-19 waves in Japan

medRxiv Jun 3, 2026
Identifying the origin of an emerging epidemic wave within days of onset could enable targeted response before national spread, yet current methods rely on genomic sequencing that lags clinical detection by 2-4 weeks. We analysed daily COVID-19 cases... read more 
public and global health
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