If you are a healthcare professional interested in knowing more about how artificial intelligence (AI) services can support decision-making related to the diagnosis and prognosis of breast, lung, prostate, and colorectal cancer, check out the AI services built within the INCISIVE project.

The INCISIVE platform provides a set of AI services and pipelines that healthcare professionals can use as decision-support tools. In addition to offering AI-enabled inference and decision-support, these services come together with explanations for healthcare professionals about the most important parameters that were considered by the AI service for providing a given inference outcome. The input data to the INCISIVE AI services include imaging examinations (MMG, MRI, US, CT, PET-CT and histopathological images), and clinical metadata (patient demographics, biopsy results, laboratory examination results, tumor and treatment details).

For more information, visit the Q&A section of the INCISIVE Data Sharing Portal and watch the following video where Chrysostomos Symvoulidis, INCISIVE partner from Telesto Technologies, explains how to access the platform, access the offered AI services and pipelines, select an AI service or pipeline for inference, and view the inference results.

INCISIVE’s AI services have been trained and validated using thousands of cancer images and accompanying clinical data from the following data providers: the Oncology Institute of Vojvodina from the University Of Novi Sad (Serbia), the National and Kapodistrian University of Athens (Greece), the Aristotle University of Thessaloniki (Greece), the Hellenic Cancer Society (Greece), Visaris (Serbia), Fundació Clínic per a la Recerca – IDIBAPS (Spain), LINAC-PET Scan OPCO from the German Oncology Center (Cyprus), the University of Rome Tor Vergata (Italy), and the University Of Naples Federico II (Italy).

Share health data with the research community!

Help us improve INCISIVE’s AI services and support the development of AI by other AI development teams by contributing cancer image data to INCISIVE’s data repository. Read this article if you want to share health data with the research community.