L2M-Advancing Surgical Precision and Care with AI-Enhanced Mixed Reality

2.1.b. Objectives and approach (the what and the how)
obj1: Understanding Healthcare Requirements for Medical Data: Initiate in-depth studies with healthcare professionals to understand their specific needs for visualizing medical data in MR. This could involve examining existing VR solutions in healthcare, and conducting focus groups and interviews with doctors, surgeons, and medical staff to ascertain their visualization needs, operational constraints, and desired functionalities.
obj2: Assessing Preferences for Interaction Methods: After gathering insights, create scenarios specific to medical data visualization, such as patient anatomy or surgical simulations. Conduct surveys to determine healthcare professionals’ preferences for existing MR interaction methods, ensuring familiarity with these methods through hands-on demonstrations.
Obj3: Determining the Effectiveness of MR Interaction Methods in Healthcare Settings: Design experiments based on the scenarios identified in Objective 1, focusing on tasks relevant to healthcare, such as navigating patient records, visualizing complex surgical procedures, or understanding patient anatomy in MR. Evaluate key metrics like time efficiency, accuracy, and cognitive load to find the most user-friendly interaction paradigms for medical professionals.
Implement a cross-over experimental design to control for learning effects.
Obj4: Investigating the Viability of AI to Enhance MR in Medical Data Visualization: Explore AI’s role in improving interaction within MR environments, such as through advanced gesture recognition, voice command interpretation, and real-time data processing. This could involve developing AI algorithms tailored to the unique needs of medical data interaction.

Faculty Supervisor:

Homayoun Najjaran

Student:

Partner:

I-INC Foundation for Business Development

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program: