AI for Health INCISIVE

A multimodal AI-based toolbox and an interoperable health imaging repository for the empowerment of imaging analysis related to the diagnosis, prediction and follow-up of cancer

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INCISIVE is a 42-months research project, funded under the call DT-TDS-05-2020 – AI for Health Images.


The INCISIVE project aims to produce the following main outputs: a) An AI-based toolbox that enhances the accuracy, specificity, sensitivity, interpretability and cost-effectiveness of existing cancer imaging methods, including an automated Machine Learning (ML)-based image annotation mechanism to rapidly produce training data for machine learning research


b) An interoperable pan-European federated repository of medical images that will enable the secure donation and sharing of data in compliance with ethical, legal and privacy demands, increasing accessibility to datasets and enabling experimentation of AI-based solutions, towards the large-scale adoption of such solutions in cancer diagnosis, prediction and follow-up.


In its lifetime, INCISIVE will make use of multimodal data sources, including imaging, biological and Electronic Health Record (EHR).


Events

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  • 12/10/2020 - 13/10/2020

    INCISIVE project Kick off Meeting

    This meeting would follow definition of the base elements for the project and other project planning activities

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  • 20/05/2021 - 21/05/2021

    ICPHIM 2021

    International Conference on Public Health Informatics Management

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  • 29/05/2021 - 31/05/2021

    MIE 2021

    In the last 20 years, the worlds of medicine and of information technologies have completely changed...

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  • 26

    PARTNERS

  • 9

    COUNTRIES

  • 8

    PILOT STUDIES

  • 4

    CANCER TYPES

  • 42

    MONTHS

  • 30

    TB AVAILABLE DATA

@IncisiveEU