Artificial Intelligence Medical Compendium

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

Showing 14,811 to 14,820 of 212,294 articles

AI-Based Dialogue Systems for Informed Consent in Radiology: Professional Perspectives from the KIPA Study.

Studies in health technology and informatics
Informed consent in radiology is often constrained by limited time and patient preparation. The KIPA project combines digital consent forms with an AI-based dialogue system that allows patients to review information and ask questions before imaging p... read more 

Identification of Potential Biomarkers in ASD Integrating RNA Seq Data and Machine Learning Approaches.

Studies in health technology and informatics
Autism spectrum disorder (ASD) is a neurodevelopmental disorder, caused by various epigenetic and genetic factors. This has resulted in an unclear understanding of etiology and biomarkers associated with ASD. In this study, we used RNA Seq datasets i... read more 

Identification of Ecological and Human Health Indicators Based on Geographic and Spatial Mapping.

Studies in health technology and informatics
Addressing public health and environmental challenges in rapidly urbanizing areas requires identifying and analyzing relevant indicators. This study introduces an AI-powered framework for extracting and analyzing health and ecological indicators from... read more 

A Human-Centered, Multi-Stage Clinical Decision Pathway for an AI-Based CDSS for Delirium Prevention.

Studies in health technology and informatics
Delirium is common, consequential, and in many cases preventable in acute care. Building on participatory work with healthcare professionals (HCP), we present a clinical decision pathway (CDP) for an AI-based clinical decision support system (CDSS) t... read more 

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

Studies in health technology and informatics
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
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
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
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
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
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