How is AI changing the healthcare sector?

• What are the possible applications? What impacts does using AI have on diagnostics, therapy and prevention in healthcare, and how does it affect doctor-patient relationships?
  
• How does the use of AI influence transformation processes in the healthcare system and what are requirements for a future healthcare system using AI?
• How can AI be used to identify new active pharmaceutical ingredients, and what do the successes in medicine mean for other sectors?  

More projects can be found at the German page.

DESIREE – Decision support in routine and emergency care

The joint project DESIREE is part of the BMBF's (German Federal Ministry of Education and Research) funding program “Research on ethical, legal and social aspects (ELSA) of digitization, big data and artificial intelligence in medical research and healthcare”. Based on three case study examples, the DESIREE consortium analyzes key ethical, social, professional and technical aspects of AI-based decision support systems in diagnostics, therapy and care.

Deepen Genomics: Opportunities and challenges of the convergence of artificial intelligence, modern human genomics, and genome editing

The project aims to analyze the opportunities and challenges presented by the convergence of artificial intelligence (especially in the form of deep learning systems) with rapid advances in modern genome analysis and genome editing, and to identify the social and political implications involved.

Sano – Centre for Computational Personalised Medicine

The objective of the EU project Sano is to establish a centre for the advancement of computational medicine and to develop sophisticated methods including AI approaches for the prevention, diagnosis and treatment of disease. The center is located in Kraków, Poland and is being supported by a consortium of renowned research institutions.