SurgEYE AI

Medical Devices - Project description:

"In teams of 4 come up with an idea for a new medical device to solve a specific problem in the medical field. Incorporate a topic discussed in class and at least 3 of the following design elements:

• Imaging Considerations

• Immune Response/ Infection Risk

• Biomaterials

• Minimization of Complications

• Mechanisms

• Pathology

• Description (Solid models, FEA, napkin, etc...)

• Regulatory

• Estimated Cost of Commercialization/ Business Plan

You will then present the idea in under 3 minutes as if you were pitching the product to investors."

Our Idea:

A smart lens that is integrated with state-of-the-art algorithms for computer vision and pathology analysis. Through these lenses, surgeons can view tumor margins without any interruption to the workflow to maximize tumor resection accuracy in Glioblastomas. It will use neural networks and be trained on a dataset of micro and macroscopic images of tumors. Using high optical capabilities, the lens will magnify the microscopic regions and superimpose margins so that the surgeon can view it macroscopically through the lens.

Benefits:

• Does not require slide preparation

• Does not require buy-in from pharmaceutical companies like 5ALA

• Reduces the chance of tumor reoccurrence and residual tumor tissue

• Can later be applied to tumors in other parts of the body

The presentations were then ranked by our professor Dr. Boyle C. Cheng, Paul Sendro (Camber Spine Chief Operating Officer/Vice President of Sales and Operations), and the course teaching assistants. We received 3rd place out of 15 groups.