Studies in health technology and informatics
Sep 3, 2025
INTRODUCTION: The integration of Retrieval-Augmented Generation (RAG) into domain-specific systems enables context-aware and traceable information retrieval. This study explores chunking and embedding strategies for a RAG-based question-answering sys...
Studies in health technology and informatics
Sep 3, 2025
This is a corrigendum to our GMDS 2024 article "Studying Privacy Aspects of Learned Knowledge Bases in the Context of Synthetic and Medical Data", published in Studies in Health Technology and Informatics, Volume 317 (IOS Press). The corrigendum impr...
BACKGROUND: Extracting clinical entities from unstructured medical documents is critical for improving clinical decision support and documentation workflows. This study examines the performance of various encoder and decoder models trained for Named ...
Arrhythmia classifiers relying on supervised deep learning models usually require a substantial amount of labeled clinical data. The distribution of these labels is strictly related to the statistics of cardiovascular diseases among the population, w...
With the rapid development and progress of big data and artificial intelligence technology, the ICD coding problem of electronic medical records has been effectively solved. The deep learning method, which replaces the manual coding method, has impro...
OBJECTIVES: Congested hospitals are increasingly common. Electronic health (eHealth) and artificial intelligence (AI)-based tools may improve in-hospital patient flow, however their implementation into practice varies. This study aims to identify and...
The impact of social determinants of health (SDoH) on periodontal disease (PD) is critical to study, as a deeper understanding of SDoH offers significant potential to inform policy and help clinicians provide holistic patient care. The use of machine...
Studies in health technology and informatics
Aug 7, 2025
The CONCERN Early Warning System (EWS) uses artificial intelligence (AI) to analyze nursing documentation patterns, predicting hospitalized patients' risk of clinical deterioration. It generates real-time risk scores displayed on the electronic healt...
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