Robotic endovascular surgery

Au, Shannon Wing Ngor; Ko, Koel; Tsang, Josephine; Chan, Yiu Che

doi:10.1177/0218492313484736

Cited by 21 publications

(4 citation statements)

References 15 publications

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“…This also has the potential for reducing procedure times due to finer control of the catheter [69], [70]. Like more complicated telerobotic approaches, with finer control, less time is necessary for manipulating the catheter [39], [71], [72]. An accompanied benefit is a reduction in exposure to x-ray radiation [38], [73].…”

Section: X-cadpam Systemmentioning

confidence: 99%

The CathPilot: A Novel Approach for Accurate Interventional Device Steering and Tracking

Zhou

2023

Preprint

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<p>Accurate catheter navigation is a significant challenge for minimally invasive catheter-based procedures. The catheter’s long length, high flexibility, mechanical interactions with the tortuous anatomy, and inadequate feedback from 2D projection x-ray limit accurate catheter tip control. This thesis describes the design, development, and evaluation of a novel catheter navigation system that directly addresses the fundamental limitations of conventional devices. We designed and developed a novel expandable frame and manual steering system using principles from cable-driven parallel manipulators to provide accurate, reliable, and localized control and feedback of the catheter tip position. The device’s performance under different tortuosity conditions and different expansion sizes were assessed, showing complete workspace coverage with localized steering within the frame and position tracking with submillimetre accuracy (~0.38mm) irrespective of the expansion size and path tortuosity. With the added control and feedback, the CathPilot promises to overcome the limitations of conventional catheter navigation and will allow for the next generation of interventional devices.</p>

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Section: X-cadpam Systemmentioning

confidence: 99%

The CathPilot: A Novel Approach for Accurate Interventional Device Steering and Tracking

Zhou

2023

Preprint

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“…The system includes a force feedback device equipped with a magnetic powder clutch and utilizes a fuzzy PID control strategy for improved operability [8]. Corindus upgraded the first-generation robotic assist system CorPath GRX (Massachusetts, MA, USA) in 2017 to improve the device control accuracy of the interventional surgical robot to the submillimeter level, but the high cost of the device and its limited application cannot be well promoted [9]. Guo et al of Beijing University of Technology in 2019 proposed a convolutional neural network-based algorithm for navigating tracing in vivo by an operational vascular robot.…”

Section: Introductionmentioning

confidence: 99%

Stability Study of an Interventional Surgery Robot Based on Active Disturbance Rejection Control

Wen

2023

Electronics

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Interventional surgery robots are essential in cardiovascular surgery as remote medical devices. By performing remote surgery, surgeons can reduce surgical fatigue and after-effects from heavy surgical instruments and radiation, ensuring that cardiovascular surgery is performed in a safe and reliable manner. To enhance stability during interventional procedures and reduce the impact of surgical risk due to factors where the robotic guidewire section from the end is vulnerable to mechanical jitter or blockage by blood flow, lipids, and thrombus inside the vessel, a new control method is proposed. The active disturbance rejection controller (ADRC) combined with intelligence algorithms is used to improve the performance of the controller by introducing the fuzzy inference algorithm and RBF neural network algorithm to self-adjust the parameters of the controller so that it has a greater ability to compensate for the disturbance factors appearing in the system. In numerical simulation experiments, the advantages and disadvantages of the ADRC combined with intelligence algorithms and the control performance of the conventional control strategy are analyzed in terms of the following: disturbance suppression performance and flexibility performance, respectively. Finally, different types of working conditions have been designed in the experimental platform to simulate the operation flow of in vivo vascular surgery. Experimental results show that the controller proposed in this paper meets the high accuracy, fast response, and low deviation required by interventional vascular surgery robots in complex surgical environments and can provide a more reliable guarantee for the stability of interventional surgery robots.

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“…They consist of a mechanical robot on the patient side and an operator control station that is radiation-shielded and allows the operator to control catheters and guidewires via sensors and joysticks [5]. Advantages to robotic systems in endovascular procedures include improved stability of the catheter tip, which in turn decreases the number of movements needed, enhanced performance navigating through tortuous vascular anatomy, and decreased exposure to radiation [6,7].…”

Section: Introductionmentioning

confidence: 99%

Robotics and Artificial Intelligence in Endovascular Neurosurgery

Bravo¹,

Wali²,

Hirshman³

et al. 2022

Cureus

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The use of artificial intelligence (AI) and robotics in endovascular neurosurgery promises to transform neurovascular care. We present a review of the recently published neurosurgical literature on artificial intelligence and robotics in endovascular neurosurgery to provide insights into the current advances and applications of this technology.The PubMed database was searched for "neurosurgery" OR "endovascular" OR "interventional" AND "robotics" OR "artificial intelligence" between January 2016 and August 2021. A total of 1296 articles were identified, and after applying the inclusion and exclusion criteria, 38 manuscripts were selected for review and analysis. These manuscripts were divided into four categories: 1) robotics and AI for the diagnosis of cerebrovascular pathology, 2) robotics and AI for the treatment of cerebrovascular pathology, 3) robotics and AI for training in neuroendovascular procedures, and 4) robotics and AI for clinical outcome optimization.The 38 articles presented include 23 articles on AI-based diagnosis of cerebrovascular disease, 10 articles on AI-based treatment of cerebrovascular disease, two articles on AI-based training techniques for neuroendovascular procedures, and three articles reporting AI prediction models of clinical outcomes in vascular disorders of the brain. Innovation with robotics and AI focus on diagnostic efficiency, optimizing treatment and interventional procedures, improving physician procedural performance, and predicting clinical outcomes with the use of artificial intelligence and robotics. Experimental studies with robotic systems have demonstrated safety and efficacy in treating cerebrovascular disorders, and novel microcatheterization techniques may permit access to deeper brain regions. Other studies show that preprocedural simulations increase overall physician performance. Artificial intelligence also shows superiority over existing statistical tools in predicting clinical outcomes.The recent advances and current usage of robotics and AI in the endovascular neurosurgery field suggest that the collaboration between physicians and machines has a bright future for the improvement of patient care. The aim of this work is to equip the medical readership, in particular the neurosurgical specialty, with tools to better understand and apply findings from research on artificial intelligence and robotics in endovascular neurosurgery.

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Robotic endovascular surgery

Cited by 21 publications

References 15 publications

The CathPilot: A Novel Approach for Accurate Interventional Device Steering and Tracking

The CathPilot: A Novel Approach for Accurate Interventional Device Steering and Tracking

Stability Study of an Interventional Surgery Robot Based on Active Disturbance Rejection Control

Robotics and Artificial Intelligence in Endovascular Neurosurgery

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