A5001025798- Semantic Web and Ontologies
- Research Data Management Practices
- Scientific Computing and Data Management
- Business Process Modeling and Analysis
- Data Quality and Management
- Biomedical Text Mining and Ontologies
- Big Data and Business Intelligence
- Advanced Data Storage Technologies
- Prostate Cancer Diagnosis and Treatment
- Network Security and Intrusion Detection
- Genital Health and Disease
- Anomaly Detection Techniques and Applications
- Surgical Simulation and Training
- Internet Traffic Analysis and Secure E-voting
- Congenital Heart Disease Studies
- Generative Adversarial Networks and Image Synthesis
- Telemedicine and Telehealth Implementation
- Advanced Neural Network Applications
- Ultrasound in Clinical Applications
- Prostate Cancer Treatment and Research
- Augmented Reality Applications
- AI in cancer detection
Center for Advanced Studies Research and Development in Sardinia
2015-2024
University of Cagliari
2006
Background: Telementoring is a real time telemedicine modality that allows specialist to remotely assist less expert operator. Videoconferencing the main means for implementing telementoring applications and has been used in wide range of clinical disciplines.; Long-distance communication can be affected by misunderstanding misinterpretation, particular when dealing with remote guidance. enhanced using Augmented Reality (AR), which enriches video feeds virtual objects like 3D models,...
Abstract The FAIR Principles are a set of recommendations that aim to underpin knowledge discovery and integration by making the research outcomes Findable, Accessible, Interoperable Reusable . These guidelines encourage accurate recording exchange structured data, coupled with contextual information about their creation, expressed in domain-specific standards machine readable formats. This paper analyses potential support FAIRness openEHR e-health standard, theoretically assessing...
Introduction Prostate cancer (PCa) is the most frequent tumor among men in Europe and has both indolent aggressive forms. There are several treatment options, choice of which depends on multiple factors. To further improve current prognostication models, we established Turin Cancer Prognostication (TPCP) cohort, an Italian retrospective biopsy cohort patients with PCa long-term follow-up. This work presents this new its main characteristics distributions some core variables, along potential...
HL7 version 2 is the most popular messaging standard for clinical systems interoperability.Most of tools management are Java or .NET based, while Python programming language lacks comparable solutions.This paper describes HL7apy, an open-source v2 compliant library, written in Python.The library offers means to create, parse, navigate and validate messages.As example application, we present a full implementation IHE Patient Demographics Query ITI-21 transaction.The resulting module has been...
In this work we present a Process Mining analysis performed on event logs coming from two fully automated Laboratory preanalytical sites. Our purpose is to empirically discover the relevant workflow models and compare them with theoretical (conceptual) workflow. The aim any unexpected behavior of for each site, refine correct model according evidence unveiled by models, following quantitative objective approach.
The increasing diffusion of data acquisition systems paves the way to traceability based process management and definition.In clinical context, IHE formalizes reference guidelines, periodically enhanced reflect processes evolution.In this work we describe how have modeled phlebotomy following references best-practices obtain a fully traceable workflow.The has resulted in two new transactions for LBL profile, describing samples containers production collection.The complete workflow been...