Work Packages - EuCanImage

WP1: Legal and ethical framework for oncologic imaging

This WP will

Define the overall legal and ethical scope, issues and requirements of the EuCanImage platform to ensure a privacy-by-design approach to its development.
Establish a legal governancefor transnational and transcontinental health data transactions to guarantee the compliance of platforms operations across jurisdictions.
Establish internal and external policies to govern interactions between data owners, users and data processors in the platform.
Establish a novel ethical framework for developing and utilising AI-supported image-based decision support tools in clinical oncology.
Evaluate and deploy new cost-effective incentives for data owners to share cancer imaging data in exchange for value in the area of cancer care, while addressing societal, legal and economic concerns.

This WP will

Gather clinical requirements from the clinical partners, in collaboration with the data management and AI experts, on data management, AI development and AI assessment.
Use, evaluate and optimise the data deposition, curation and enhancement capabilities of the platform.
Design and implement AI solutions for the clinical use cases, and continuously refine them based on clinical feedback.
Assess the AI solutions from both technical and clinical perspectives.
Gather feedback from user experience, then provide recommendations and guidelines

This WP will

Define the overall legal and ethical scope, issues and requirements of the EuCanImage platform to ensure a privacy-by-design approach to its development.
Establish a legal framework for transnational and transcontinental health data transactions to guarantee the compliance of platforms operations across jurisdictions.
Establish internal and external policies to govern interactions between data owners, users and data processors in the platform.
Establish a novel ethical framework for developing and utilising AI-supported image-based decision support tools in clinical oncology.
Evaluate and deploy new cost-effective incentives for data owners to share cancer imaging data in exchange for value in the area of cancer care, while addressing societal, legal and economic concerns.

This WP will

Create a comprehensive suite of open source tools and procedures for data anonymization that meet the legal requirements of all EU partners.
Integrate an existing cloud-based tool for collaborative and user-friendly annotation of cancer imaging data.
Expand POSDA tools and curation procedures to curate labelled data and non-imaging data.
Further enhance the wealth of the available data through synthetic image generation.
Implement tools for standardising image data cross sites and scanners.
Leverage the large-scale data and machine learning to provide semi-automated capabilities for data curation and annotation.

This WP will

Provide the baseline compute environment to build flexible AI solutions for cancer imaging.
Build a comprehensive and scalable cancer radiomics library.
Implement a comprehensive machine learning toolbox for building integrative AI solutions.
Ensure the machine learning techniques can be executed in a distributed privacy-preserving manner.
Develop and validate tools for allowing the interpretability of AI-based decision.
Establish and document in detail the FUTURE Guiding Principles for AI in cancer imaging.

This WP will

Achieve multi-stakeholder consensus with experts on metrics and criteria to assess and benchmark AI solutions.
Develop methods to estimate bias and uncertainty, as well as procedures to handle errors in AI for cancer imaging based on ensemble and online learning.
Develop new methods to assess the degree of interpretability of AI models.
Propose guidelines to assess clinical effectiveness and usability of AI solutions in clinical oncology.
Develop an open-access and disease-specific tool to evaluate cost-effectiveness of the AI products.
Integrate the assessment methods and procedures for community auditing and benchmarking within ELIXIR’s OpenEBench platform.

This WP will

Develop EuCanImage’s corporate identity, as well as dissemination material.
Develop and iteratively update a plan for dissemination and communication.
Disseminate the project and its results to clinical, research and industrial stakeholders, as well as to the wider public.
Establish the network of image-based cancer researchers, clinicians and innovators.
Establish a plan for the exploitation and sustainability of the EuCanImage platform.

This WP will

Monitor the successful implementation of research activities (WPs 1-7) within the agreed time, cost and quality limits, including management of risks and corrective actions.
Facilitate full synergy and interaction among EuCanImage partners by managing the internal channels, managerial committees, regular online and face-to-face meetings and project events.
Coordinate and manage all administrative, financial and contractual aspects related to the project.
Identify any upcoming risk as early as possible and work on mitigation plans and solutions.
Create synergies with other initiatives in the field and/or part of this call and in the field of cancer/imaging across Europe and the world.

This work package sets out the ethics requirements definded by the European Commision that the project must comply with.