Smartphone for triage to detect stroke
Project overview
Project title
Smartphone for triage to detect stroke.
Project description
This project will focus on AI based voice analysis to assess patients in the emergency departments to assist in early detection of stroke conditions. The expected outcome is to develop interactive software and AI modelling focusing on responsible AI, overcoming gender, ethnicity and age-related biases. The potential benefit of this project is to reduce misdiagnosis that takes place in hospitals due to differences in gender, age and ethnicity.
Supervisory team
University
| Name of university supervisor | Professor Dinesh Kumar Professor Feng Xia |
| Name of university | RMIT University |
| Email address | dinesh.kumar@rmit.edu.au feng.xia@rmit.edu.au |
| Faculty | School of Engineering |
CSIRO
| Name of CSIRO supervisor | Dr Suyu Ma Dr Sherry Xu |
| Email address | suyu.ma@data61.csiro.au Xiwei.Xu@data61.csiro.au |
| CSIRO Research Unit | Data61 |
Industry
| Name of industry supervisor | Professor Subhash Challa |
| Name of business/organisation | Software Medical Devices |
| Email address | subhash.challa@sensen.ai |
Further details
| Primary location of student | RMIT University, 124 La Trobe Street, Melbourne VIC 3000, Australia |
| Industry engagement component location | Software Medical Devices Pty Ltd, 2/570 City Road, South Melbourne, VIC 3205 |
| Other locations | CSIRO Clayton, Research Way, Clayton VIC 3168, Australia |
| Ideal student skillset | Programming skills in Python or Matlab. Fundamentals of signal and image processing Fundamentals of machine learning. Ability to work in teams and develop leadership skills. |
| Application close date | Open until position filled |
| Apply | Contact Professor Dinesh Kumar |