Advancing spine surgery: evaluating the potential for full robotic automation
Introduction: The use of robotic systems in spine surgery is expanding, with growing interest in the potential for full automation. This review explores current robotic technologies, their limitations, and future automation possibilities, focusing on technical and practical aspects. Research questio...
| Autores: | , , , , , |
|---|---|
| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2025 |
| País: | España |
| Recursos: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repositorio: | Recercat. Dipósit de la Recerca de Catalunya |
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| Acesso em linha: | https://hdl.handle.net/10230/72955 http://dx.doi.org/10.1016/j.bas.2025.104232 |
| Access Level: | acceso abierto |
| Palavra-chave: | Automation Collaborative robots Encoder-based systems Robotic Spine surgery Tracking technologies |
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Advancing spine surgery: evaluating the potential for full robotic automationSamprón, NicolásLafuente Baraza, JesúsPresa-Alonso, JorgeIvanov, MarcelHartl, RogerRingel, FlorianAutomationCollaborative robotsEncoder-based systemsRobotic Spine surgeryTracking technologiesIntroduction: The use of robotic systems in spine surgery is expanding, with growing interest in the potential for full automation. This review explores current robotic technologies, their limitations, and future automation possibilities, focusing on technical and practical aspects. Research question: What are the current capabilities and limitations of robotic systems in spine surgery, and how might advancements in tracking technologies facilitate a transition toward greater automation? Material and methods: A narrative review of literature on robotic spine surgery systems was conducted, analyzing benefits, accuracy, limitations, and innovations necessary for full automation. Focus was placed on trajectory-guiding technologies, such as optical tracking and alternative tracking methods. Results: Current robotic systems (e.g., Cirq®, Mazor X™, ExcelsiusGPS™) assist in trajectory guidance but lack autonomy. Optical tracking systems present challenges, such as obstruction vulnerability and inaccuracies in complex constructs. Conversely, encoder-based tracking demonstrated superior accuracy, offering a promising pathway toward increased automation. The potential advantages of robotics over conventional navigation, including their nature and clinical relevance, remain a topic of active discussion. However, the inherent complexity of spine surgery and the critical role of human decision-making remain substantial barriers. Discussion and conclusion: While full automation in robotic spine surgery is not yet attainable, advancements in tracking technologies point to a future of enhanced robot-surgeon collaboration, which could optimize clinical outcomes and improve procedural safety.Elsevier2026202620252026info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/10230/72955http://dx.doi.org/10.1016/j.bas.2025.104232https://hdl.handle.net/10230/72955reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésBrain and Spine. 2025;5:104232© 2025 The Authors. Published by Elsevier B.V. on behalf of EUROSPINE, the Spine Society of Europe, EANS, the European Association of Neurosurgical Societies. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:dnet:recercat____::c0ba88a1263274c38232d25ebe23244c2026-05-29T05:05:01Z |
| dc.title.none.fl_str_mv |
Advancing spine surgery: evaluating the potential for full robotic automation |
| title |
Advancing spine surgery: evaluating the potential for full robotic automation |
| spellingShingle |
Advancing spine surgery: evaluating the potential for full robotic automation Samprón, Nicolás Automation Collaborative robots Encoder-based systems Robotic Spine surgery Tracking technologies |
| title_short |
Advancing spine surgery: evaluating the potential for full robotic automation |
| title_full |
Advancing spine surgery: evaluating the potential for full robotic automation |
| title_fullStr |
Advancing spine surgery: evaluating the potential for full robotic automation |
| title_full_unstemmed |
Advancing spine surgery: evaluating the potential for full robotic automation |
| title_sort |
Advancing spine surgery: evaluating the potential for full robotic automation |
| dc.creator.none.fl_str_mv |
Samprón, Nicolás Lafuente Baraza, Jesús Presa-Alonso, Jorge Ivanov, Marcel Hartl, Roger Ringel, Florian |
| author |
Samprón, Nicolás |
| author_facet |
Samprón, Nicolás Lafuente Baraza, Jesús Presa-Alonso, Jorge Ivanov, Marcel Hartl, Roger Ringel, Florian |
| author_role |
author |
| author2 |
Lafuente Baraza, Jesús Presa-Alonso, Jorge Ivanov, Marcel Hartl, Roger Ringel, Florian |
| author2_role |
author author author author author |
| dc.subject.none.fl_str_mv |
Automation Collaborative robots Encoder-based systems Robotic Spine surgery Tracking technologies |
| topic |
Automation Collaborative robots Encoder-based systems Robotic Spine surgery Tracking technologies |
| description |
Introduction: The use of robotic systems in spine surgery is expanding, with growing interest in the potential for full automation. This review explores current robotic technologies, their limitations, and future automation possibilities, focusing on technical and practical aspects. Research question: What are the current capabilities and limitations of robotic systems in spine surgery, and how might advancements in tracking technologies facilitate a transition toward greater automation? Material and methods: A narrative review of literature on robotic spine surgery systems was conducted, analyzing benefits, accuracy, limitations, and innovations necessary for full automation. Focus was placed on trajectory-guiding technologies, such as optical tracking and alternative tracking methods. Results: Current robotic systems (e.g., Cirq®, Mazor X™, ExcelsiusGPS™) assist in trajectory guidance but lack autonomy. Optical tracking systems present challenges, such as obstruction vulnerability and inaccuracies in complex constructs. Conversely, encoder-based tracking demonstrated superior accuracy, offering a promising pathway toward increased automation. The potential advantages of robotics over conventional navigation, including their nature and clinical relevance, remain a topic of active discussion. However, the inherent complexity of spine surgery and the critical role of human decision-making remain substantial barriers. Discussion and conclusion: While full automation in robotic spine surgery is not yet attainable, advancements in tracking technologies point to a future of enhanced robot-surgeon collaboration, which could optimize clinical outcomes and improve procedural safety. |
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2025 |
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2025 2026 2026 2026 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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https://hdl.handle.net/10230/72955 http://dx.doi.org/10.1016/j.bas.2025.104232 https://hdl.handle.net/10230/72955 |
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https://hdl.handle.net/10230/72955 http://dx.doi.org/10.1016/j.bas.2025.104232 |
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Inglés |
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Inglés |
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Brain and Spine. 2025;5:104232 |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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Elsevier |
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Elsevier |
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