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Innovations in surgical training: exploring the role of artificial intelligence and large language models (LLM)
Julian Varas1, Brandon Valencia Coronel1, Ignacio Villagrán2
1- Pontificia Universidad Católica de Chile, Experimental Surgery and Simulation Center, Department of Digestive Surgery - Santiago - Región Metropolitana - Chile.
Revista Do Colegio Brasileiro De Cirurgioes
|August 30, 2023
Summary
Artificial intelligence (AI) and large language models (LLMs) are transforming surgical training through advanced simulations and personalized feedback. Addressing challenges like accuracy and ethics is key to improving surgical education and patient outcomes.
Area of Science:
- Medical Education
- Surgical Training
- Artificial Intelligence
Background:
- Surgical training is evolving with technological advancements.
- Artificial intelligence (AI) offers new tools for education and simulation.
Purpose of the Study:
- To explore AI applications in surgical training, focusing on large language models (LLMs).
- To examine how AI can enhance communication, feedback, and skill development for surgical trainees.
Main Methods:
- Review of AI-driven simulation-based training, assessment tools, and VR/AR platforms.
- Discussion of LLMs' role in feedback transcription, translation, and summarization.
Main Results:
- AI integration presents opportunities for personalized feedback and skill enhancement.
- LLMs can potentially streamline feedback processes in surgical education.
Conclusions:
- AI in surgical training promises a more effective and safer learning experience.
- Addressing AI challenges like accuracy, ethics, and bias is crucial for successful implementation.
