Why the study?
The landscape of surgical training is rapidly evolving with artificial intelligence, prompting an exploration of AI and large language models to enhance communication, personalize feedback, promote skill development, and navigate implementation challenges.
The integration of AI and LLMs into surgical training has the potential to reshape education by providing comprehensive and personalized learning experiences, provided that ethical and reliability challenges are addressed.
May support pilot integration of AI in surgical training; leaves open prospective trials to address bias and ethics.
The landscape of surgical training is rapidly evolving with the advent of artificial intelligence (AI) and its integration into education and simulation. This manuscript aims to explore the potential applications and benefits of AI-assisted surgical training, particularly the use of large language models (LLMs), in enhancing communication, personalizing feedback, and promoting skill development. We discuss the advancements in simulation-based training, AI-driven assessment tools, video-based assessment systems, virtual reality (VR) and augmented reality (AR) platforms, and the potential role of LLMs in the transcription, translation, and summarization of feedback. Despite the promising opportunities presented by AI integration, several challenges must be addressed, including accuracy and reliability, ethical and privacy concerns, bias in AI models, integration with existing training systems, and training and adoption of AI-assisted tools. By proactively addressing these challenges and harnessing the potential of AI, the future of surgical training may be reshaped to provide a more comprehensive, safe, and effective learning experience for trainees, ultimately leading to better patient outcomes. .
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Coronel et al. (2023) studied this question.
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