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. 2023 Aug 25:50:e20233605.
doi: 10.1590/0100-6991e-20233605-en. eCollection 2023.

Innovations in surgical training: exploring the role of artificial intelligence and large language models (LLM)

[Article in English, Portuguese]
Julian Varas  1 , Brandon Valencia Coronel  1 , Ignacio Villagrán  2 , Gabriel Escalona  1 , Rocio Hernandez  3 , Gregory Schuit  3 , Valentina Durán  1 , Antonia Lagos-Villaseca  4 , Cristian Jarry  1 , Andres Neyem  3 , Pablo Achurra  1
Affiliations

Innovations in surgical training: exploring the role of artificial intelligence and large language models (LLM)

[Article in English, Portuguese]
Julian Varas et al. Rev Col Bras Cir. .

Abstract
in English, Portuguese

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. .

O cenário do treinamento cirúrgico está evoluindo rapidamente com o surgimento da inteligência artificial (IA) e sua integração na educação e simulação. Este artigo explora as aplicações e benefícios potenciais do treinamento cirúrgico assistido por IA, em particular o uso de modelos de linguagem avançados (MLAs), para aprimorar a comunicação, personalizar o feedback e promover o desenvolvimento de habilidades. Discutimos os avanços no treinamento baseado em simulação, ferramentas de avaliação impulsionadas por IA, sistemas de avaliação baseados em vídeo, plataformas de realidade virtual (RV) e realidade aumentada (RA), e o papel potencial dos MLAs na transcrição, tradução e resumo do feedback. Apesar das oportunidades promissoras apresentadas pela integração da IA, vários desafios devem ser abordados, incluindo precisão e confiabilidade, preocupações éticas e de privacidade, viés nos modelos de IA, integração com os sistemas de treinamento existentes, e treinamento e adoção de ferramentas assistidas por IA. Ao abordar proativamente esses desafios e aproveitar o potencial da IA, o futuro do treinamento cirúrgico pode ser remodelado para proporcionar uma experiência de aprendizado mais abrangente, segura e eficaz para os aprendizes, resultando em melhores resultados para os pacientes.

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Conflict of interest statement

Conflict of interest: Dr. Julian Varas is the Founder of Training Competence, an official spinoff startup from the Pontificia Universidad Católica de Chile. Dr. Gabriel Escalona is the chief product officer of this startup. Ignacio Villagrán is a consultant for this startup. Training Competence and the Pontificia Universidad Católica de Chile are the proprietors of the rights and distribution of the LAPP platform mentioned in this study.

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