Amid the COVID-19 crisis, health came to the forefront as a crucial field for AI Uptake. Indeed the crisis boosted the adoption of AI in health and the digital transition of business, research, education and public administration. Furthermore, the unprecedented investments of the Recovery Plan agreed in July 2020 are set to fuel development in digital technologies and health beyond expectations.
Hence, many important policy developments will shape future directions, including the European Strategy for Data, setting up a common dataspace for health and the Artificial Intelligence Act, a risk-based regulatory framework for AI, launched in April 2021.
AI, by feeding on large amounts of data to extract patterns and insights, can undeniably be a force of change for several sectors in a transversal manner.
However, technology adoption does not restrict to the potential held by the technology per se but, rather, it expands to the sectorial context surrounding it. Hence, from this more holistic perspective, each sector displays its own set of peculiarities (and challenges) with respect to AI uptake.
In this task, we outline such sectoral specificities in the adoption of AI both quantitatively, by blending different streams of data, and qualitatively, through expert consultations and literature reviews.
This policy brief addresses the question of what it takes for Europe to become a global leader in AI in health.
This report reviews and classifies the current and near-future applications of Artificial Intelligence (AI) in Medicine and Healthcare according to their ethical and societal impact and the availability level of the various technological implementations.
This report presents the results of a sectoral analysis of AI in health and health care.
The COVID-19 pandemic has created an extraordinary medical, economic and social emergency. To contain the spread of the virus