Surgical training scalability through AI-based innovations

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dc.article.number37
dc.catalogadoryvc
dc.contributor.authorJarry Trujillo, Cristián Ignacio
dc.contributor.authorVela Ulloa, Javier Ignacio
dc.contributor.authorDurán Espinoza, Valentina Alexandra
dc.contributor.authorVan Leeuwen, Matthew
dc.contributor.authorVaras, Julián
dc.date.accessioned2025-03-14T19:13:12Z
dc.date.available2025-03-14T19:13:12Z
dc.date.issued2025
dc.description.abstractTraining scalability in surgical education is challenged by the limited availability of expert instructors and the need for personalized feedback. The integration of artificial intelligence (AI) into surgical training offers promising solutions to these challenges. This narrative review examines how AI-based tools enhance surgical training scalability, focusing on automated assessments, feedback delivery, and simulation-based education. A comprehensive literature search identified relevant studies on AI applications in surgical training. The review discusses the educational foundations of simulation training, defines AI and its subsets (machine learning and deep learning), and explores the significance of phase/task segmentation in surgical procedures. It critically analyzes current AI applications in automated assessment and feedback, highlighting impediments to scalability such as the specificity of AI models to particular procedures and the need for new models across different domains. The findings suggest that while AI holds significant potential for improving surgical education, challenges remain in generalizing models and integrating AI tools into diverse training contexts.
dc.fuente.origenORCID
dc.identifier.doi10.1007/s44186-025-00348-8
dc.identifier.urihttps://doi.org/10.1007/s44186-025-00348-8
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/102640
dc.information.autorucEscuela de Medicina; Varas Cohen, Julian Emanuel; 0000-0002-5828-9623; 134158
dc.information.autorucEscuela de Medicina; Jarry Trujillo, Cristián Ignacio; 0000-0003-3548-4909; 205691
dc.information.autorucEscuela de Medicina; Vela Ulloa, Javier Ignacio; S/I; 1093359
dc.information.autorucEscuela de Medicina; Durán Espinoza, Valentina Alexandra; 0000-0002-0476-7415; 1162520
dc.language.isoen
dc.nota.accesocontenido completo
dc.revistaGlobal Surgical Education: Journal of the Association for Surgical Education
dc.rightsacceso restringido
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.titleSurgical training scalability through AI-based innovations
dc.typeartículo
dc.volumen4
sipa.codpersvinculados134158
sipa.codpersvinculados205691
sipa.codpersvinculados1093359
sipa.codpersvinculados1162520
sipa.trazabilidadORCID;2025-03-03
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