• Improving cancer diagnosis and prediction using Artificial Intelligence

01. Description

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 (INCISIVE)

This European project belongs to the HORIZON 2020 Framework Program of the European Commission.

The objective of INCISIVE is to improve the diagnosis and prediction of cancer using AI and data in a massive way, articulating the work in 5 lines of action:

  • Analysis of AI challenges related to cancer-related medical imaging to achieve a highly acceptable solution.
  • Incorporation of AI features that improve cancer imaging and enable effective decision-making.
  • Implementation of a federated pan-European interoperable repository of health images, including security mechanisms for data sharing.
  • System validations, technology evaluation and concept tests.
  • Active participation of stakeholders, improving user acceptance and resulting in measurable impacts.

02. Consortium

  • MaggioliS.p.A.
  • Fundació TIC Salut Social.
  • Institute of Communication and Computer Systems.
  • Center for Research and Technology Hellas (CERTH)
  • Centro Regionale ICT.
  • Barcelona SuperComputing Center.
  • European Dynamics, SA.
  • Telesto IoT Solutions Ltd.
  • Squaredev.
  • Aristotle University of Thessaloniki.
  • InnosystemLtd.
  • University of Novi Sad.
  • Visaris D.o.o.
  • University of Naples Federico II.
  • Hellenic Cancer Society.
  • Cyprus Association of Cancer Patients and Friends.
  • Medtronic.
  • White Research.
  • Time.Lex.
  • Kingston University.
  • Cyprus University of Technology.
  • German Oncology Center.
  • Consorci Institut d’Investigacions Biomediques August Pi I Sunver.
  • University of Helsinki.
  • National and Kapodistrian University of Athens.
  • University of Tor Vergata.

03. Project data

Ambit: Programa Horizon 2020.

Financing: 400.000 €

Official website of the project