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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.
Maryam Mehri Dehnavi
Yi Xiang
Surgical Safety Technologies Inc
Computer science
Professional, scientific and technical services
University of Toronto
Accelerate
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