AI for COVID-19
- AI processing of multi-stream data for COVID-19 and TB diagnosis
Access the Computing Resources
- There are powerful servers for GPU based AI processing
- These are research facilities set up as work-horses
- Please access them here, where we describe how to get credentialed and how to access.
- AI wik site here
Public Health, Artificial Intelligence and Diagnosis based on Multiple Data Sources
This project is a large interdisciplinary partnership of Doctors, Public Health Researchers, Data Scientists, Physicists and Engineers. It combines the data sets represented by several sources, including images of chest X-rays, audio recordings of coughs and set sentences, and Natural Language Processing applied to clinician data of patient interviews, and possible from wearable diagnostic devices. The Artificial Intelligence (AI) solution is a weakly supervised Deep Learning network. Its novel in the range of data sources which are unified and then presented coherently to a common AI engine and also in the interaction between the interdisciplinary team in developing the system. Ultimately one may have a tool that can support the diagnosis of a broader range of people with lung pathologies, even over the telephone (COVID-19, pneumonia, TB etc). Based on the wearables, the machine learning algorithm would also be able to diagnose if the patient is crashing or stable.
- Public Health Research Unit
- Right to Care
- University of Johannesburg
- University of the Witwatersrand
- Brookhaven National Accelerator laboratory
- Technical University Tswane
- University of Rwanda