AIMC Topic: Semantics

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Towards Semantic Interoperability Health Standardization Recommendation Tool.

Studies in health technology and informatics
The European Rolling Plan for ICT Standardization outlines activities that connect EU policies to standardization efforts in different technological domains. Artificial Intelligence (AI), security, and cybersecurity are at the top of the agenda of th...

Efficient Semantic Similarity Computing with Optimized BERT Models.

Studies in health technology and informatics
Bridging diverse terminologies and ensuring precise information retrieval, semantic similarity in medical language is key to improve healthcare outcomes. Semantic similarity measures how closely pieces of text share the same meaning, a crucial elemen...

Assessing the Potential of an LLM-Powered System for Enhancing FHIR Resource Validation.

Studies in health technology and informatics
Large Language Models (LLMs) have gained significant popularity among healthcare professionals as tools for AI-driven interactions. These models can analyze large volumes of clinical data, including patient narratives, to assist in efficient decision...

Towards the Common Data Model for an Intensive Medicine Data Space in Europe.

Studies in health technology and informatics
This work aims to identify the Key Research Areas for building and deploying the semantic interoperability framework for the Intensive Medicine Data Space in Europe. A set of European experts defined four research areas and associated challenges: i) ...

Validating Hierarchical Alignments of Partially Antonymous Concept Pairs in SNOMED CT.

Studies in health technology and informatics
SNOMED CT is a comprehensive controlled biomedical ontology widely used as an information exchange standard among various healthcare institutions. To ensure the unambiguous expression of health data and effective linguistic computation of word meanin...

Breaking Digital Health Barriers Through a Large Language Model-Based Tool for Automated Observational Medical Outcomes Partnership Mapping: Development and Validation Study.

Journal of medical Internet research
BACKGROUND: The integration of diverse clinical data sources requires standardization through models such as Observational Medical Outcomes Partnership (OMOP). However, mapping data elements to OMOP concepts demands significant technical expertise an...

A Software-Defined Sensor System Using Semantic Segmentation for Monitoring Remaining Intravenous Fluids.

Sensors (Basel, Switzerland)
Accurate intravenous (IV) fluid monitoring is critical in healthcare to prevent infusion errors and ensure patient safety. Traditional monitoring methods often depend on dedicated hardware, such as weight sensors or optical systems, which can be cost...

Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis.

Journal of medical Internet research
BACKGROUND: The opioid epidemic in the United States remains a major public health concern, with opioid-related deaths increasing more than 8-fold since 1999. Chronic pain, affecting 1 in 5 US adults, is a key contributor to opioid use and misuse. Wh...

Data Interpretation in Structural Health Monitoring: Toward a Universal Language.

Sensors (Basel, Switzerland)
Structural Health Monitoring (SHM) relies on the effective communication between sensors and diagnostic systems, yet data interpretation remains inconsistent and subjective. This paper introduces a novel perspective, viewing data as a form of languag...

Semantic Clinical Artificial Intelligence (SCAI) Usability Testing.

Studies in health technology and informatics
We evaluated the performance of Semantic Clinical Artificial Intelligence (SCAI, pronounced Sky), a large language model (LLM) knowledge resource through usability testing. This pretest-intervention-posttest mixed-methods user interface (UI) design s...