Artificial Intelligence Medical Compendium

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

Showing 14,271 to 14,280 of 211,815 articles

Automated Information Extraction Pipeline for Constructing ED Knowledge Graphs from Korean Clinical Problem Lists.

Studies in health technology and informatics May 21, 2026
Emergency department problem lists remain unstructured despite documenting major medical problems. We developed an information extraction pipeline for constructing ED knowledge graphs, comparing three normalization strategies and five LLMs on 250 ann... read more 

Towards Clinical NLP in a Low-Resource Language: Structuring Estonian Clinical Text.

Studies in health technology and informatics May 21, 2026
Healthcare sectors generate large volumes of unstructured text, yet mature clinical NLP is lacking for low-resource languages. This project targets Estonian, a morphologically rich, low-resource language, and outlines an end-to-end pipeline that conv... read more 

Narrative Review of LLMs Benchmarks for French Medical Question Answering.

Studies in health technology and informatics May 21, 2026
Generative LLMS have become ubiquitous across various fields, including healthcare and medicine. Consequently, there is growing interest in leveraging LLMs for medical applications, leading to the daily emergence of novel models. To identify gaps in ... read more 

Voice Diaries as Digital Biomarkers: A Scoping Review.

Studies in health technology and informatics May 21, 2026
Our goal in this review is to map how voice diaries are used as digital biomarkers, summarize computational pipelines, and identify methodological gaps. Seven databases were searched using the Population-Concept-Context framework. 10/41 records met i... read more 

GFO-Light: A Simplified Top-Level Ontology - Introduction and Biomedical Case Studies.

Studies in health technology and informatics May 21, 2026
We present a novel lightweight top-level ontology (TLO) 'GFO-light', which has been designed for ease of use by non-ontologists. While most TLOs come with rich, complex axiomatizations and terminologies that include a lot of philosophical jargon, lig... read more 

Standardized Information Model for Clinical Texts: The MII Core Data Set Module Document.

Studies in health technology and informatics May 21, 2026
The objective is to create a standardized, harmonized information model for clinical documents based on the HL7 FHIR specification. The connection between unstructured data and its metadata facilitates internal organization and external access for sc... read more 

Standardized Annotation of Clinical Narratives with SNOMED CT and FHIR.

Studies in health technology and informatics May 21, 2026
A semantic framework for manual annotation of clinical narratives using SNOMED CT and FHIR has been created. To test the guideline, two medical annotators independently annotated 20 selected diverse clinical text fragments. Quantitatively, we detect ... read more 

REDCap Ontology Annotation Made Easy (ROME) - A REDCap Module for Simplified Metadata Element Annotation.

Studies in health technology and informatics May 21, 2026
Semantic annotation of study metadata elements with concept codes from medical terminologies is essential in order to make biomedical data FAIR (Findable, Accessible, Interoperable, and Reusable) and to enable cross-border data exchange as envisioned... read more 

Ontology-Aligned Representation of Adverse Events in a Multiple Myeloma Clinical Trial.

Studies in health technology and informatics May 21, 2026
To explore the potential of ontologies in improving adverse event identification, we developed ontology-aligned representations of adverse events extracted from electronic health records (EHRs) of fifty patients participating in a multiple myeloma tr... read more 

Practical Implications for Using Laboratory Data: Research over Federated Networks.

Studies in health technology and informatics May 21, 2026
INTRODUCTION: Semantic standardization is essential, but not sufficient, to enable research over real-world data networks. Even when harmonized, differences in data availability, granularity, and clinical practice can introduce subtle biases that aff... read more 
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