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Mixed Reality and Artificial Intelligence: A Holistic Approach to Multimodal Visualization and Extended Interaction
Andrea Moglia1, Luca Marsilio1, Matteo Rossi1,2
1Department of ElectronicsInformation and BioengineeringPolitecnico di Milano 20133 Milan Italy.
IEEE Journal of Translational Engineering in Health and Medicine
|February 27, 2024
Summary
The Holoknee prototype, using AI and mixed reality (MR), shows promise for knee osteotomy surgical training and planning. This innovative system aids surgeons in preoperative planning and potentially intraoperative guidance.
Area of Science:
- Orthopedic surgery
- Medical technology
- Human-computer interaction
Background:
- Augmented reality (AR) has advanced orthopedic surgical planning and navigation.
- Mixed reality (MR) applications in orthopedics are less explored.
- Artificial intelligence (AI) can enhance MR capabilities through automation and personalization.
Purpose of the Study:
- To assess the Holoknee prototype, an AI and MR-based system for multimodal data visualization and surgical planning in knee osteotomy.
- To evaluate its usability on the HoloLens 2 headset.
Main Methods:
- Two preclinical test sessions with 11 participants (surgeons, residents, medical student).
- Participants performed six tasks related to holographic data interaction and preoperative planning.
- User perception and usability were assessed via questionnaires.
Main Results:
- Participants showed improved task execution times across sessions.
- High agreement (90.9%) on MR's effectiveness for preoperative planning.
- Positive feedback on MR for surgical training and potential for intraoperative guidance.
Conclusions:
- Holoknee is the first holistic AI and MR application for knee osteotomy surgical planning.
- Demonstrated promising potential for surgical training, preoperative planning, and intraoperative guidance.
- Aims to support surgeons and enhance resident training.

