The increase in the amount and availability of health data, especially medical imaging in cancer cases, combined with the emergence of new technological tools based on Artificial Intelligence (AI) and Machine Learning (ML) offer unprecedented opportunities for improving the accuracy of cancer detection, prediction and follow-up, thus allowing clinical care decisions that are better informed.
INCISIVE is a 42-month project that aims at exploring the potential of novel AI tools for enhancing current imaging solutions for cancer cases. INCISIVE addresses challenges related to the detection of patterns in large volumes of cancer imaging data, thus increasing the interpretability of complex imaging data and supporting more effective decision-making for Healthcare Providers. It also addresses challenges related to data labelling and annotation, as well as availability and sharing of imaging data so that it can be used for training and validating AI tools for improved imaging methods.
INCISIVE is a 42-month project that aims at exploring the potential of novel AI tools for enhancing current imaging solutions for cancer cases.
The project targets two main results: