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AI-driven Innovation in Medical Imaging
Artificial Intelligence and Deep Learning are increasingly being used to support the prevention, diagnosis, and follow-up of non-communicable diseases, helping to ease the burden on under-resourced healthcare systems.
This report reviews the most widely used AI methods in medical imaging, including...

Anticipating the impact of AI on occupations: a JRC methodology
The Joint Research Centre has developed a methodology to assess the relative impact of AI on occupations. It is based on a mapping between the amount of research in AI and occupations, linking them through cognitive abilities and work tasks.The methodology was used to calculate an AI exposure score...

Artificial intelligence for healthcare and well-being during exceptional times

Digitalisation of Justice 2023 Report

Behind Recommender Systems: the Geography of the ACM RecSys Community
Towards Children-Centred Trustworthy Conversational Agents

SLIDES | Liability regimes in the age of AI: a use-case driven analysis of the burden of proof

Humaint WS 2020 - Assesing the impact of AI in human behaviour

Humaint WS 2020 - Considering the FAT implications

Humaint WS 2020 - Studying AI in social context