The advances in medical AI are fast but the translation to clinical usage is still challenging and need to be faster. The adoption of AI is limited in clinical practice and guidance is needed. There is a need of legal and ethical guidance, large numbers of high quality structured data, improved possibilities for data sharing. EUCAIM is dealing with all these issues.

The infrastructure, called Cancer Image Europe, is designed to preserve the data sovereignty of providers, and provide a platform, including an Atlas of Cancer Images, for the development and benchmarking of AI tools towards Precision Medicine.

EUCAIM and the Cancer Image Europe platform targets clinicians, researchers, and innovators, providing the means to finally build up validated clinical decision-making systems supporting diagnosis, treatment, and predictive medicine to benefit citizens.

By EUCANIMAGE we will:

Improve detection and diagnosis

Capitalize on the recent advances and successes of Artificial Intelligence systems in helping medical professionals to detect and diagnose cancers

Accelerate AI development

Support the piloting and development of innovative computer-aided solutions to achieve greater accuracy and reliability in cancer imaging and personalised care, in line with the objectives of the Europe’s Beating Cancer Plan

Showcase trustworthiness

Showcase how medical images can be accessed, used and/or pooled while ensuring a high level of ethics, trust, security and personal data protection in full compliance with EU values and rules

During the work we found a need of guidelines for trustworthy and deployable AI in healthcare and the dynamic framework created in the FUTURE-AI consortium will also be presented.