Advancements and challenges in robotic surgery: A holistic examination of operational dynamics and future directions

IF 0.8 Q4 SURGERY
Abdullah Riad , Majed Hadid , Adel Elomri , Ahmad Al-Ansari , Mohamed Amine Rejeb , Marwa Qaraqe , Sarada Parsad Dakua , Abdel Rahman Jaber , Abdulla Al-Ansari , Omar M. Aboumarzouk , Abdelfatteh EL Omri
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引用次数: 0

Abstract

Background

In recent years, Robot-Assisted Surgeries (RAS) have advanced significantly, revolutionizing healthcare with better patient outcomes, faster recovery times, and greater surgical accuracy. However, challenges such as restricted maneuverability and communication issues persist, along with the need to evaluate surgeons' proficiency in RAS. Healthcare 5.0 seeks to enhance RAS by integrating technologies like advanced imaging, haptic feedback, and artificial intelligence.

Objective

This paper explores the Operational Management of Robotic-Assisted Surgeries (OM-RAS) by analyzing recent research. It assesses surgical robotics operations, workflow optimization, performance enhancement, and skill assessment. Additionally, it examines challenges and gaps in the RAS domain, providing a comprehensive research overview.

Methods

A comprehensive literature search was conducted across databases such as Scopus, Web of Science, and Google Scholar, covering publications up to the third quarter of 2023. Search terms were selected using scientific criteria and validated by experts, resulting in a substantial document collection. A rigorous screening process, aligned with PRISMA 2020 standards, filtered the selection to 50 research papers, forming the foundation for detailed investigation.

Findings

OM-RAS is a multidimensional field influenced by emerging technologies that optimize workflows, enhance performance, and improve skill assessment in RAS. Despite superior outcomes, challenges such as implementation costs and seamless technology integration persist. Additionally, research gaps exist regarding RAS benefits, creating opportunities for efficiency enhancement in patient care. Further exploration of RAS procedure scheduling across different surgery types is essential.

Conclusion

Integrating advanced technologies into RAS has improved surgical outcomes, shortened hospital stays, and enhanced working environments. This study advocates for a holistic multi-criteria decision-making approach, considering factors like kinematics, imaging, Internet of Things/Tactile Internet (IoT/TI), and AI. It provides valuable insights, guiding future research and shaping OM-RAS studies.

Abstract Image

机器人手术的进步和挑战:操作动力学和未来方向的整体检查
近年来,机器人辅助手术(RAS)取得了显著进展,以更好的患者治疗效果、更快的恢复时间和更高的手术准确性彻底改变了医疗保健。然而,诸如受限的可操作性和沟通问题等挑战仍然存在,同时还需要评估外科医生对RAS的熟练程度。医疗保健5.0试图通过集成先进成像、触觉反馈和人工智能等技术来增强RAS。目的对机器人辅助手术(OM-RAS)的操作管理进行分析。它评估外科机器人操作,工作流程优化,性能增强和技能评估。此外,它还研究了RAS领域的挑战和差距,提供了一个全面的研究概述。方法对Scopus、Web of Science、b谷歌Scholar等数据库进行综合文献检索,检索截止到2023年第三季度的出版物。使用科学标准选择搜索词并由专家验证,从而产生大量文档集合。经过严格的筛选过程,符合PRISMA 2020标准,筛选出50篇研究论文,为详细调查奠定了基础。发现som -RAS是一个受新兴技术影响的多维领域,这些技术优化了RAS的工作流程,提高了性能,并改进了技能评估。尽管取得了优异的成果,但实施成本和无缝技术集成等挑战仍然存在。此外,关于RAS效益的研究存在差距,为提高患者护理效率创造了机会。进一步探索不同手术类型的RAS手术安排是必要的。结论将先进技术应用于RAS可改善手术效果,缩短住院时间,改善工作环境。本研究提倡一种整体的多标准决策方法,考虑运动学、成像、物联网/触觉互联网(IoT/TI)和人工智能等因素。它提供了有价值的见解,指导未来的研究和塑造OM-RAS研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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