Artificial Intelligence Medical Compendium

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

Showing 14,311 to 14,320 of 211,815 articles

Integrating Metabolomics and Digital Tools to Valorise Aromatic Ecotypes in Sustainable Agriculture.

Studies in health technology and informatics May 21, 2026
Global challenges such as climate change, resource depletion, and population growth are reshaping agricultural priorities toward sustainability and efficiency. Within this framework, metabolomics has emerged as a powerful analytical platform for expl... read more 

Learning Deep Temporal Representations of Socioeconomic Deprivation.

Studies in health technology and informatics May 21, 2026
This study focuses on AI-based quantification of socioeconomic disparities within society. Specifically, we investigate whether embeddings derived from a recurrent neural network (RNN), trained on the features of a deprivation index, capture more inf... read more 

Application of Metagenomics and Artificial Intelligence for Pathogen Characterization in Domestic Animals and Epizootic Prediction: A Systematic Review and Meta-Analysis.

Studies in health technology and informatics May 21, 2026
Sub-Saharan Africa suffers devastating animal health losses exceeding $20 billion each year. By combining metagenomics with artificial intelligence (AI), a promising path emerges for faster diagnostics and proactive disease prediction. Our PRISMA-gui... read more 

Predicting COVID-19 Vaccination Decision-Making Profiles Among Dutch Adults: From Survey to National Administrative Data.

Studies in health technology and informatics May 21, 2026
Individual's vaccination behaviors are influenced by factors such as values and beliefs. Applying latent class analysis (LCA) to such factors from the Longitudinal Internet Studies for the Social Sciences (LISS) panel[1], Matthijssen et al.[2] identi... read more 

From Clinical Data Warehouses to Epidemiological Indicators: A Methodology for Real-Time Surveillance.

Studies in health technology and informatics May 21, 2026
Clinical data warehouses (CDWs) provide a robust foundation for generating real-world epidemiological indicators from electronic health records. By exploiting routinely collected hospital data, these infrastructures enable near real-time monitoring o... read more 

Topic Modeling and Trend Analysis in Medical Education Literature Using Projective Non-Negative Matrix Factorization.

Studies in health technology and informatics May 21, 2026
In this study, we performed Non-Negative Matrix Factorization (NMF) based topic analysis on PubMed article abstracts in the field of medical education to analyze topic trends over the last 15 years. We also applied automatic frequency-based n-gram (c... read more 

Feasibility of LLM-Assisted Communication Feedback in Simulation-Based Medical Education: A Pilot Study.

Studies in health technology and informatics May 21, 2026
The study presents a local large language model pipeline for automated feedback in pediatric simulation-based medical education. The system generates structured reports using the Liverpool Undergraduate Communication Assessment Scale. Four communicat... read more 

Beyond Sequential Teaching: A Concurrent Model for AI in Medicine.

Studies in health technology and informatics May 21, 2026
This paper describes the design and preliminary implementation of a concurrent (parallel) model for teaching AI in medicine. This elective course was addressed to residents and final year medical students aiming to integrate in each lecture the theor... read more 

Redesigning Python Programming Course in the Generative AI Era: An Italian Case Study.

Studies in health technology and informatics May 21, 2026
This study presents the redesign of a Python programming course for medical students at the University of Pavia, integrating the Generative AI (GenAI) tool Gemini within Google Colab to support learning and problem-solving. To evaluate students' expe... read more 

Empirical Comparison of Causal Machine Learning and Post-Hoc AI Interpretability Models for Risk Factor Analysis: An Application to Medical Specialty Choice.

Studies in health technology and informatics May 21, 2026
How medical students choose specialties shapes access to care. Prior work mostly describes patterns; newer prediction tools can rank influential factors but may blur association with true drivers. Using a curated cohort of 399 students, we examined Y... read more 
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