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SurgiVision: Lightweight AI for Surgical Scene Understanding on Edge Devices
- Program: Electrical and Computer Engineering
- Course: EN.520.440/640 Machine Intelligence on Embedded Systems
- Year: 2025
Project Description:
SurgiVision explores the use of lightweight artificial intelligence to interpret surgical scenes in real time. The project aims to develop a system that can identify key elements during minimally invasive procedures—such as surgical tools, actions, and target anatomy—using visual data. Designed with efficiency in mind, this approach is intended for potential deployment on resource-constrained platforms like embedded or edge devices. The project aims to explore how artificial intelligence can support surgical workflows in clinical or educational environments, such as in smart operating rooms, robotic assistance, or surgical training.
Project Photo:
A demonstration image from SurgiVision, showing a laparoscopic surgical scene labeled with AI-generated predictions of the current phase and action triplet—including instrument and verb—illustrating structured understanding in a real-world scenario.