Virtual medical instruments for orthopedic surgery training: A hip arthroplasty application

Alexander Wiese, Garrett Williams, George Lecakes, Meghan Morley, Tae Won Kim, Amanda Almon, Shreekanth Mandayam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Surgical education for residents is provided through observership and participation with attending surgeons, cadaveric sessions and use of textbook illustrations. This paper describes the development of virtual medical instruments as a flexible, safe, and scalable learning option that can provide real-time feedback for the resident and increase entrustability by the attending surgeon when the resident is in the operating room. In orthopedic surgery, total hip arthroplasty (THA) is reproducible and hence was chosen as the simulated training surgery. The virtual medical instruments developed for this research is set in a fully immersive 3D virtual environment that can allow for innovative ways to train students and provide a new way of experiential education. With the goal of making the training anatomically accurate, users can interact with the virtual operating environment in real-time to ensure proper instrument usage. The virtual procedure also provides realistic visualization of the surrounding operating room and anatomical environment around the surgery site, marking important landmarks to the surgeon to enable effective surgical training.

Original languageEnglish (US)
Title of host publication2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728194318
DOIs
StatePublished - Aug 23 2021
Event2021 IEEE Sensors Applications Symposium, SAS 2021 - Virtual, Sundsvall, Sweden
Duration: Aug 23 2021Aug 25 2021

Publication series

Name2021 IEEE Sensors Applications Symposium, SAS 2021 - Proceedings

Conference

Conference2021 IEEE Sensors Applications Symposium, SAS 2021
Country/TerritorySweden
CityVirtual, Sundsvall
Period8/23/218/25/21

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Instrumentation

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