Using AI to clear elective surgery backlog during COVID-19 pandemic
AI models can optimize health-care delivery to help offset the backlog of elective surgeries caused by COVID-19.
In a new study led by University of Waterloo student Natasha Rozario, machine learning was used to create customized models to optimize the efficiency of operating room (OR) booking times. The model enables a 40 per cent increase in the frequency of ORs running on time.
