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Autonomous Wound Closure Framework

Project Description:

Our goal is to develop a machine learning model to autonomously perform surgical incision closure for the knee arthroplasty procedure whilst improving data collection infrastructure with the dVRK for future users.

Project Photo:

8cm wound closed with continuous baseball suture by teleoperating the da Vinci Research Kit

Wound Closure Example

Project Poster

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Student Team Members

Natalie Smith
Thuy Anh-Le
Shaun Ku

Course Faculty

Axel Krieger

Project Mentors, Sponsors, and Partners

JHU IMERSE Lab
Computer Integrated Surgery II Professor Dr. Taylor Russell
Jesse Haworth
Haoying “Jack” Zhou
Anton Deguet
Dr. Andrey Zuskov