Research Project
eMORFORAD: Artificial Intelligence in support of medical personnel
We support the development of an integrated radiomic and phenotypic system for the diagnosis, prognosis and personalization of the therapy of head and neck cancers.
Where: international
Where: international
Challenge
To develop an integrated radiomic analysis software system for specialized medical personnel in order to include patients affected by head and neck tumors in the new personalized medicine protocols. This is the goal of the eMORFORAD project.
Approach
The solution aims to provide a holistic approach to patient care, based on the integration of data deriving from humoral and tissue biomarkers of the disease and imaging analysis systems, which use radiomics, to insert them into the patient's clinical-diagnostic path.
eMORFORAD defines and develops diagnostic, prognostic and predictive algorithms with artificial intelligence techniques, based on an integrated data model.
In Engineering we have defined the integrated health data model and the rules for converting and integrating data from heterogeneous sources. The data management systems (database and related application logic) and the data converters from the source format, including the DICOM standard format, to a target format compliant with the HL7 / FHIR standard have been developed. We have also coordinated the requisite elicitation phase (i.e. the process of collecting information on the system to be analyzed) and produced the functional and non-functional specification of the overall eMORFORAD system.
The project was co-financed by the European Union, the Italian State and the Campania Region, as part of the POR Campania FESR 2014-2020.
Financing Framework
Results
Integrated data model for the representation of health data
Data analytics tools and graphical interfaces
Technologies
AI & Data
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The power of big data leads services, products and processes to a higher level of "intelligence".
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