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The role of artificial intelligence in surgical simulation
Jay J Park1,2, Jakov Tiefenbach3, Andreas K Demetriades2,4
1Department of General Surgery, Norfolk and Norwich University Hospital, Norwich, United Kingdom.
Frontiers in Medical Technology
|January 2, 2023
Summary
Artificial Intelligence (AI) enhances surgical simulation for better surgeon training and patient safety. Despite its promise, high costs and limited evidence hinder widespread adoption of AI-powered surgical simulators.
Area of Science:
- Medical Simulation
- Surgical Training
- Artificial Intelligence in Medicine
Background:
- Artificial Intelligence (AI) is increasingly utilized in surgical simulation to improve surgeon training and patient safety.
- AI enhances preoperative planning, intraoperative guidance, and personalized feedback within surgical simulations.
- Current AI applications in surgical visualization aid anatomical education and presurgical assessment.
Purpose of the Study:
- To review the current state, challenges, and future prospects of AI in surgical simulation.
- To present a list of FDA/CE approved AI-powered surgical simulation devices.
- To highlight the gap between academic advancements and commercialization of AI surgical simulators.
Main Methods:
- Literature review on AI in surgical simulation.
- Analysis of current AI technologies in surgical visualization.
- Compilation of regulatory-approved AI-powered surgical simulation devices.
Main Results:
- AI-supported surgical simulators show promise but face significant barriers to commercialization, including high costs and limited superiority evidence.
- A gap exists between academic research and the widespread clinical and commercial application of AI-enabled surgical simulators.
- Existing AI-powered surgical simulation devices approved by regulatory bodies are limited.
Conclusions:
- Further clinical validation of AI-supported surgical simulators is crucial.
- Addressing implementation costs and demonstrating clear superiority are key to wider adoption.
- Increased regulatory approval and clinical assessment will drive the future of AI in surgical education.

