AI and Infection Prevention

AI Generated Character based on 1854 Broad Street Cholera Epidemic

Anna Dumitriu and Alex May have started a new collaboration with Dr James Price (Brighton and Sussex Medical School), Dr Sid Mookerjee (University Hospitals Sussex) and Dr Ashleigh Myall (NEX.Q) to artistically explore novel new research which offers to improve infection prevention and control (IPC) in hospital settings using artificial intelligence. In the first stages of the project the artists are exploring how the AI infection prevention system works by applying it to a historic data set based on John Snow’s research on the 1854 Cholera outbreak in Broad Street, London, considered to be the first epidemiological study ever conducted.

BonePicker – An AI Generated Character based on 1854 Broad Street Cholera Epidemic

The artists are in the process of fabricating a far more detailed data set using AI tools, and simulations that bring the outbreak to life and will show us if modern AI could have helped stop the outbreak sooner, or even prevented it from ever happening. Other elements of the project explore how to engage audiences in understanding the meaning and implications of healthcare associated infection (HCAI).

AI Generated scene based on 1854 Broad Street Cholera Epidemic

Supported by Brighton and Sussex Medical School and University of Sussex Higher Education Innovation Funds (HEIF), supporting a wider program of work in Sussex on translational clinical research in IPC through collaborations with academia, clinical, industry and patients/public. 

AI Generated Character based on 1854 Broad Street Cholera Epidemic