AI-Enhanced Simulation for Advanced Cardiac Surgery Training
Goals
Our team investigates how artificial intelligence and advanced simulation technologies can improve training for complex cardiac surgeries. We aim to develop intelligent, immersive simulation tools that enhance surgical precision, decision-making, and patient safety.
Cardiac surgery is one of the most technically demanding areas in medicine, requiring years of specialized training and practice. Traditional training methods often rely on limited real-world cases and cadaver models, which do not fully capture the variety of patient anatomies or surgical challenges.
Our team’s purpose is to design and implement an AI-driven surgical simulation platform that provides realistic, adaptive, and interactive training environments for cardiac surgeons. By integrating artificial intelligence, virtual/augmented reality, and patient-specific data, we aim to create simulations that replicate the complexity of real operations while offering safe, repeatable practice opportunities. Students will have the chance to contribute to an interdisciplinary project at the intersection of medicine, engineering, and AI innovation.
Issues Involved or Addressed
- Training limitations in traditional surgical education
- Need for patient-specific, adaptive simulation models
- Enhancing surgical decision-making under uncertainty
- Human–machine collaboration in critical healthcare settings
- Ethical considerations in AI-based medical training
- Bridging computer science, biomedical engineering, and clinical practice
Methods and Tech
- Artificial Intelligence & Machine Learning – predictive modeling, reinforcement learning for adaptive feedback
- Human-Centered Design – ensuring usability and clinical relevance through collaboration with surgeons and medical trainees
- 3D Simulation & Modeling – realistic anatomical reconstruction from medical imaging (CT/MRI)
- Virtual & Augmented Reality (VR/AR) – immersive training environments for surgeons-in-training
Academic Majors of Interest
Though open to all majors, we are most interested in students majoring in:
- Biomedical Engineering
- Electrical and Computer Engineering
- Computer Science
- Mechanical Engineering
- Medical/Pre-Med Students
Preferred Interests and Preparation
Preferred Skills:
- Ability to analyze data
- Attention to detail
- Documentation skills
- Familiarity with Excel, Python, C, and/or R
Preferred Attributes:
- Self-motivated and organized
- Interested in learning as well as mentoring peers
Application Process
To express interest in this team, please complete the VIP Interest Form and select "AI-Enhanced Simulation for Advanced Cardiac Surgery Training."
This team only recruits students for credit.
Note: this team requests a resume from students who would like to join the team. If you need guidance on creating a resume, please see the Writing a Resume page developed by Student Engagement and Career Development.