@misc{10481/81842,
year = {2023},
month = {5},
url = {https://hdl.handle.net/10481/81842},
abstract = {The Cancer Survivorship - AI for Well-being cluster (#CS_AIW) has brought together 11 EU-funded projects working in artificial intelligence (AI) for healthcare and well-being with the aim of transcending the individual project experiences and stop working in silos. The White Paper presents the #CS_AIW initiative and our collective shared vision, providing an overview of the participating projects and it reports on the achievements and lessons learned from our collaboration, including both the benefits obtained and the difficulties addressed.

The experience with #CS_AIW to date has proven that collaboration within the cluster has been extremely beneficial and useful to foster an ethos of cross-fertilization engagement, share best practices, boost cross-sector collaboration, increase the participation of end user communities, and reach a wider audience. The activities organized, which encompass meetings, roundtable discussions, podcasts, a better practices guide, a common data space and the white paper itself, have proven to be an inherited valued initiative to generate, activate and communicate knowledge and innovation in the areas of mental health, well-being, cancer recovery, patient support and participatory research.},
organization = {The projects in #CS_AIW have received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no.:
ASCAPE - Ref 875351
BD4QoL - Ref 875192
CAPABLE - Ref 875052
CLARIFY - Ref 860627
FAITH - Ref 875358
LIFECHAMPS - Ref 875329
MENHIR - Ref 823907
ONCORELIEF - Ref 875392
PERSIST - Ref 875406
QUALITOP - Ref 875171
REBECCA - Ref 65231},
keywords = {Cancer},
keywords = {Survivorship},
keywords = {Recovery},
keywords = {Well-being},
keywords = {Mental health},
keywords = {EU projects},
keywords = {#CS_AIW},
keywords = {Collaboration},
keywords = {White paperTechnology},
keywords = {Artificial intelligence},
keywords = {Smart devices},
keywords = {Data collection},
keywords = {Privacy},
keywords = {Interoperability},
keywords = {Health records},
keywords = {User engagement},
keywords = {Technology Adoption},
keywords = {Usability},
keywords = {Ethical barriers},
keywords = {Data quality},
keywords = {Transfer to market},
title = {Cancer Survivorship and AI for Well-being White Paper: A European research projects collaborative perspective},
author = {Callejas Carrión, Zoraida and Flynn, Tom},
}