Cloud platform for machine learning

Surgical Safety Technologies aims to provide healthcare professionals with the opportunity to perform research in areas of surgical performance and education and implement evidence-based solutions to improve patient safety. Search on video content would an ideal functionality to assist with healthcare professionals’ research. This project uses computer vision model to rank the relevance of the surgical video. In addition, this project aims to improve the user experience of the product by analyzing the metadata generated by the cloud platform and developing an efficient data visualization technique.

Faculty Supervisor:

Maryam Mehri Dehnavi

Student:

Yi Xiang

Partner:

Surgical Safety Technologies Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto