Evaluating Robotic Medical Surgery with Multimodal and Responsible AI
Project overview
Project title
Evaluating Robotic Medical Surgery with Multimodal and Responsible AI
Project description
This Project aims to develop multimodal and responsible artificial intelligence (AI) for automated robotic surgery assessment. The expected outcome is to develop multimodal and responsible AI for automated robotic surgery assessment. The potential benefit is enhanced surgical training, improved patient outcomes, reduced training costs, and increased transparency.
Supervisory team
University
| Name of university supervisor | Ke Deng Yongli Ren |
| Name of university | Royal Melbourne Institute of Technology |
| Email address | ke.deng@rmit.edu.au yongli.ren@rmit.edu.au |
| Faculty | STEM College |
CSIRO
| Name of CSIRO supervisor | Wei Shao Seyit Camtepe |
| Email address | wei.shao@data61.csiro.au Seyit.camtepe@data61.csiro.au |
| CSIRO Business Unit | Data61 |
Industry
| Name of industry supervisor | Helen Mohan |
| Name of business/organisation | IMRA Surgical Pty Ltd (Website) |
| Email address | Helenm@imrasurgical.com |
Further details
| Primary location of student | RMIT, 124 La Trobe Street, Melbourne VIC |
| Industry engagement component location | IMRA Surgical Pty Ltd, Level 7, 14-20 Blackwood Street, North Melbourne VIC |
| Other locations | CSIRO Clayton, Research Way, Clayton VIC |
| Ideal student skillset | Proficiency in developing and deploying machine learning models, understanding computer vision techniques, ensuring data privacy, and developing software systems is essential. Good collaboration and communication skills to engage with stakeholders and researchers. Strong research skills to conduct literature reviews Project management expertise to facilitate task coordination and meeting deadlines. Understanding of ethical considerations regarding AI in healthcare. |
| Application close date | Open until position filled |
| Apply | RMIT Hint: type “IMRA” in the search bar to locate the project |