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

ABSTRACT 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 l...

Full description

Bibliographic Details
Main Authors: JULIAN VARAS, BRANDON VALENCIA CORONEL, IGNACIO VILLAGRÁN, GABRIEL ESCALONA, ROCIO HERNANDEZ, GREGORY SCHUIT, VALENTINA DURÁN, ANTONIA LAGOS-VILLASECA, CRISTIAN JARRY, ANDRES NEYEM, PABLO ACHURRA
Format: Article
Language:English
Published: Colégio Brasileiro de Cirurgiões 2023-08-01
Series:Revista do Colégio Brasileiro de Cirurgiões
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69912023000100402&tlng=pt
_version_ 1827856901583405056
author JULIAN VARAS
BRANDON VALENCIA CORONEL
IGNACIO VILLAGRÁN
GABRIEL ESCALONA
ROCIO HERNANDEZ
GREGORY SCHUIT
VALENTINA DURÁN
ANTONIA LAGOS-VILLASECA
CRISTIAN JARRY
ANDRES NEYEM
PABLO ACHURRA
author_facet JULIAN VARAS
BRANDON VALENCIA CORONEL
IGNACIO VILLAGRÁN
GABRIEL ESCALONA
ROCIO HERNANDEZ
GREGORY SCHUIT
VALENTINA DURÁN
ANTONIA LAGOS-VILLASECA
CRISTIAN JARRY
ANDRES NEYEM
PABLO ACHURRA
author_sort JULIAN VARAS
collection DOAJ
description ABSTRACT 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. .
first_indexed 2024-03-12T12:32:45Z
format Article
id doaj.art-3dafd0c03ad846efb7d295aa0bb5d2fd
institution Directory Open Access Journal
issn 1809-4546
language English
last_indexed 2024-03-12T12:32:45Z
publishDate 2023-08-01
publisher Colégio Brasileiro de Cirurgiões
record_format Article
series Revista do Colégio Brasileiro de Cirurgiões
spelling doaj.art-3dafd0c03ad846efb7d295aa0bb5d2fd2023-08-29T07:42:25ZengColégio Brasileiro de CirurgiõesRevista do Colégio Brasileiro de Cirurgiões1809-45462023-08-015010.1590/0100-6991e-20233605-enInnovations in surgical training: exploring the role of artificial intelligence and large language models (LLM)JULIAN VARAShttps://orcid.org/0000-0003-4890-9937BRANDON VALENCIA CORONELhttps://orcid.org/0000-0003-4231-4465IGNACIO VILLAGRÁNhttps://orcid.org/0000-0003-3130-8326GABRIEL ESCALONAhttps://orcid.org/0000-0001-8733-3614ROCIO HERNANDEZhttps://orcid.org/0000-0003-4677-2519GREGORY SCHUIThttps://orcid.org/0000-0002-7219-9915VALENTINA DURÁNhttps://orcid.org/0000-0002-0476-7415ANTONIA LAGOS-VILLASECAhttps://orcid.org/0000-0002-2579-5474CRISTIAN JARRYhttps://orcid.org/0000-0003-3548-4909ANDRES NEYEMhttps://orcid.org/0000-0002-5734-722XPABLO ACHURRAhttps://orcid.org/0000-0001-6803-423XABSTRACT 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. .http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69912023000100402&tlng=ptArtificial IntelligenceEducation, MedicalLearning Curve
spellingShingle JULIAN VARAS
BRANDON VALENCIA CORONEL
IGNACIO VILLAGRÁN
GABRIEL ESCALONA
ROCIO HERNANDEZ
GREGORY SCHUIT
VALENTINA DURÁN
ANTONIA LAGOS-VILLASECA
CRISTIAN JARRY
ANDRES NEYEM
PABLO ACHURRA
Innovations in surgical training: exploring the role of artificial intelligence and large language models (LLM)
Revista do Colégio Brasileiro de Cirurgiões
Artificial Intelligence
Education, Medical
Learning Curve
title Innovations in surgical training: exploring the role of artificial intelligence and large language models (LLM)
title_full Innovations in surgical training: exploring the role of artificial intelligence and large language models (LLM)
title_fullStr Innovations in surgical training: exploring the role of artificial intelligence and large language models (LLM)
title_full_unstemmed Innovations in surgical training: exploring the role of artificial intelligence and large language models (LLM)
title_short Innovations in surgical training: exploring the role of artificial intelligence and large language models (LLM)
title_sort innovations in surgical training exploring the role of artificial intelligence and large language models llm
topic Artificial Intelligence
Education, Medical
Learning Curve
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69912023000100402&tlng=pt
work_keys_str_mv AT julianvaras innovationsinsurgicaltrainingexploringtheroleofartificialintelligenceandlargelanguagemodelsllm
AT brandonvalenciacoronel innovationsinsurgicaltrainingexploringtheroleofartificialintelligenceandlargelanguagemodelsllm
AT ignaciovillagran innovationsinsurgicaltrainingexploringtheroleofartificialintelligenceandlargelanguagemodelsllm
AT gabrielescalona innovationsinsurgicaltrainingexploringtheroleofartificialintelligenceandlargelanguagemodelsllm
AT rociohernandez innovationsinsurgicaltrainingexploringtheroleofartificialintelligenceandlargelanguagemodelsllm
AT gregoryschuit innovationsinsurgicaltrainingexploringtheroleofartificialintelligenceandlargelanguagemodelsllm
AT valentinaduran innovationsinsurgicaltrainingexploringtheroleofartificialintelligenceandlargelanguagemodelsllm
AT antonialagosvillaseca innovationsinsurgicaltrainingexploringtheroleofartificialintelligenceandlargelanguagemodelsllm
AT cristianjarry innovationsinsurgicaltrainingexploringtheroleofartificialintelligenceandlargelanguagemodelsllm
AT andresneyem innovationsinsurgicaltrainingexploringtheroleofartificialintelligenceandlargelanguagemodelsllm
AT pabloachurra innovationsinsurgicaltrainingexploringtheroleofartificialintelligenceandlargelanguagemodelsllm