DRAGON artificial intelligence - Other prediction models - Personalised monitoring in at-risk groups - Challenges and recommendations on AI integration in healthcare: outcome of multi-stakeholder consultation - DRAGON 2023

DRAGON conference: lessons learnt from COVID-19

As the culminating event of the three-year EU-funded DRAGON project focusing on SARS-CoV-2 and COVID-19, the conference brought together experts to discuss clinical networks, the implementation of diagnosis/prediction models - including artificial intelligence - in acute and long COVID, as well as pandemic preparedness.

Panel: AI - diagnostics and prediction

Session type: Interactive Panel

DRAGON artificial intelligence - Other prediction models - Personalised monitoring in at-risk groups - Challenges and recommendations on AI integration in healthcare: outcome of multi-stakeholder consultation

Guang Yang - Imperial College of London (London, United Kingdom), Ian Selby - University of Cambridge (Cambridge, United Kingdom), Francois Blistein - Radiomics (Liège, Belgium), Polina Starchenko - European Lung Foundation (Brussels, Belgium)

CDN Connection Issue

DRAGON conference: lessons learnt from COVID-19

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