A5068636397- Seismology and Earthquake Studies
- Seismic Imaging and Inversion Techniques
- Earthquake Detection and Analysis
- earthquake and tectonic studies
- Hydraulic Fracturing and Reservoir Analysis
- Seismic Waves and Analysis
- Electronic Health Records Systems
- Biomedical Text Mining and Ontologies
- Ultrasonics and Acoustic Wave Propagation
- Drilling and Well Engineering
- Artificial Intelligence in Healthcare and Education
- Data Quality and Management
- Structural Health Monitoring Techniques
- Scientific Computing and Data Management
- Wireless Body Area Networks
- Thermography and Photoacoustic Techniques
- Business Process Modeling and Analysis
- Geotechnical and Geomechanical Engineering
- Biomedical and Engineering Education
- Topic Modeling
- Complex Systems and Time Series Analysis
- Fatigue and fracture mechanics
- Big Data and Business Intelligence
- Sensor Technology and Measurement Systems
- Adhesion, Friction, and Surface Interactions
Austrian Research Institute for Artificial Intelligence
2024-2025
Medical University of Vienna
2024-2025
University of Applied Sciences Technikum Wien
2023
Université de Strasbourg
2009-2011
Centre National de la Recherche Scientifique
2009-2011
University of Alberta
2011
[1] Seismic noise spectra at all seismic stations display two peaks in the 1–20 s period band, called primary and secondary microseisms. They are caused by coupling of ocean waves into Rayleigh waves. At most locations, microseismic power is greater during local winter (when nearby oceans stormier) than summer. This tendency reversed for Antarctica, where growth sea ice seems to impede microseism generation near coastal areas. A decade continuous data from Antarctica show systematic...
Using a multi-resolution technique, we analyze large in-plane fracture fronts moving slowly between two sintered Plexiglas plates. We find that the roughness of front exhibits distinct regimes separated by crossover length scale δ*. Below δ*, observe multi-affine regime and measured exponent ζ||−=0.60±0.05 is in agreement with coalescence model. Above are mono-affine, characterized ζ||+=0.35±0.05, consistent fluctuating line relate to fluctuations toughness stress intensity factor.
This paper presents a narrative analysis of standards-based interoperability approaches in clinical decision support systems, focusing on the ArdenSuite platform. We examine how both semantic and technical challenges are addressed through its modular architecture for multiple healthcare standards including HL7's Arden Syntax, FHIR, openEHR, CDS Hooks. The platform's implementation at University Hospital Vienna demonstrates practical applications automated guideline processing pandemic alert...
The analysis and individual interpretation of hepatitis serology test results is a complex task in laboratory medicine, requiring either experienced physicians or specialized expert systems. This study explores fine-tuning large language model (LLM) for using single graphics processing unit (GPU). A custom dataset based on the Hepaxpert system was used to train LLM. Fine-tuning performed an Nvidia RTX 6000 Ada GPU via torchtune. fine-tuned LLM showed significant performance improvements over...
We analyze five approaches to knowledge management in clinical decision support (CDS) systems: pattern recognition based on annotated imaging data, mining of stored structured medical text published texts, computable design, and general or specific corpora for large language models. Each method's strengths limitations automating while striving a zero-error policy are evaluated, offering insights into their roles enhancing healthcare through intelligent support. The study aims inform...
This paper studies the feasibility of incorporating clinical decision support (CDS) into health digital twins (HDTs). A HDT is visualized in a web application, data are stored FHIR-based electronic record, and an Arden-Syntax-based CDS interpretation alert service connected. The prototype focuses on interoperability these components. study confirms integration HDTs provides insight possibilities for further expansion.
Leveraging the capabilities of a microbiological clinical analytics tool, this study delves into quantifying public health impact antibiotic-resistant bacteria. Focusing on eight predominant bacteria, utilizes University Hospital Vienna’s data to calculate burden infections in disability-adjusted life years. The results highlight potential extended tools epidemiological research and underscore pressing challenge antimicrobial drug resistance.
We present a new methodological approach based on integrating Arden-Syntax-based clinical decision support (CDS) with an upstream ontology service. Incoming linguistic patient data, such as single reports about detected germs or viruses, shall be identified by the applied at low level. Then, higher-level concepts are activated ontology-based bottom-up reasoning. Access to these high-level is then provided CDS. The results suggest promising directions for future enhancements in...
The Arden Syntax is a language designed for the encoding of medical knowledge into clinical decision support systems. Its evolution overseen by Health Level 7. A significant enhancement in its new version 3.0 incorporation FHIR data retrieval, which addresses long-standing curly braces problem. We introduce newly developed compiler 3.0, employs modern tools such as ANTLR lexical and parsing analysis GraalVM with Truffle Language Implementation Framework semantic processing, optimization,...