AIMC Topic: Systems Integration
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How Interoperability Can Enable Artificial Intelligence in Clinical Applications.
Studies in health technology and informatics
Aug 22, 2024
This paper explores the critical role of Interoperability (IOP) in the integration of Artificial Intelligence (AI) for clinical applications. As AI gains prominence in medical analytics, its application in clinical practice faces challenges due to th...
Integrating Chatbot Functionality in a Patient Summary Based Healthcare System.
Studies in health technology and informatics
Aug 22, 2024
The integration of chatbots in healthcare has gained attention due to their potential to enhance patient engagement and satisfaction. This paper presents a healthcare chatbot providing comprehensive access to patient summaries, aligned with the Europ...
Leveraging Clinical Data Treasures: Integration of an AI Platform into Clinical IT.
Studies in health technology and informatics
Aug 22, 2024
In recent years, there has been a rapid growth in the use of AI in the clinical domain. In order to keep pace with this development, a framework should be created in which clinical AI models can be easily trained, managed and applied. In our study, w...
Integrating and Adopting AI in the Radiology Workflow: A Primer for Standards and Integrating the Healthcare Enterprise (IHE) Profiles.
Radiology
Jun 1, 2024
The deployment of artificial intelligence (AI) solutions in radiology practice creates new demands on existing imaging workflow. Accommodating custom integrations creates a substantial operational and maintenance burden. These custom integrations als...
[Technical Realization of Integrating Bone Age Artificial Intelligence Assessment System with Hospital RIS-PACS Network].
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
Oct 8, 2020
OBJECTIVE: To explore the integration method and technical realization of artificial intelligence bone age assessment system with the hospital RIS-PACS network and workflow.
A Semantic Similarity Evaluation for Healthcare Ontologies Matching to HL7 FHIR Resources.
Studies in health technology and informatics
Jun 16, 2020
Healthcare 4.0 demands healthcare data to be shaped into a common standardized and interoperable format for achieving more efficient data exchange. Most of the techniques addressing this domain are dealing only with specific cases of data transformat...
Integrating blockchain technology with artificial intelligence for cardiovascular medicine.
Nature reviews. Cardiology
Jan 1, 2020
Artificial intelligence (AI) holds promise for cardiovascular medicine but is limited by a lack of large, heterogeneous and granular data sets. Blockchain provides secure interoperability between siloed stakeholders and centralized data sources. We d...
Drug knowledge bases and their applications in biomedical informatics research.
Briefings in bioinformatics
Jul 19, 2019
Recent advances in biomedical research have generated a large volume of drug-related data. To effectively handle this flood of data, many initiatives have been taken to help researchers make good use of them. As the results of these initiatives, many...
Multi-omics integration-a comparison of unsupervised clustering methodologies.
Briefings in bioinformatics
Jul 19, 2019
With the recent developments in the field of multi-omics integration, the interest in factors such as data preprocessing, choice of the integration method and the number of different omics considered had increased. In this work, the impact of these f...
Integrating ontologies of human diseases, phenotypes, and radiological diagnosis.
Journal of the American Medical Informatics Association : JAMIA
Feb 1, 2019
Mappings between ontologies enable reuse and interoperability of biomedical knowledge. The Radiology Gamuts Ontology (RGO)-an ontology of 16 918 diseases, interventions, and imaging observations-provides a resource for differential diagnosis and auto...
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