-
INCISIVE
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
SEE MOREINCISIVE 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).
-
Incorporation of AI features enhancing cancer imaging and enabling effective decision making
INCISIVE will develop a cost-efficient solution incorporating novel AI models, combined with a set of predictive, descriptive and prescriptive analytics, enabling the multi-modal exploration of the available...
SEE MORE -
Implementation of an interoperable pan-European federated repository of health images, including secure data sharing mechanisms
The good performance and sustainable exploitation of the INCISIVE AI and analytics components (Pillar 2) are closely linked with the availability and quality of imaging data, as well as their accurate and ea...
SEE MORE
Events
SHOW ALL-
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
+ INFO -
20/05/2021 - 21/05/2021
ICPHIM 2021
International Conference on Public Health Informatics Management
+ INFO -
29/05/2021 - 31/05/2021
MIE 2021
In the last 20 years, the worlds of medicine and of information technologies have completely changed...
+ INFO
-
26
PARTNERS
-
9
COUNTRIES
-
8
PILOT STUDIES
-
4
CANCER TYPES
-
42
MONTHS
-
30
TB AVAILABLE DATA
