Similar Publications

Controlling of Applied Force and Cornea Displacement Estimation in Robotic Corneal Surgery With a Gripper Surgical Instrument.

Int J Med Robot

February 2025

Faculty of Health, Education, Medicine and Social Care, Medical Technology Research Centre, The Institute of Excellence in Robotic Surgery, Anglia Ruskin University, Chelmsford, UK.

Background: The human eye consists of highly sensitive, hydrated, and relatively thin tissues, making precise control and accurate force estimation crucial in robotic eye surgery. This paper introduces a novel control method and state observer designed for a gripper surgical instrument used on the external ocular surface during robotic eye surgery.

Methods: A novel state observer, operating in tandem with the controller, estimates the applied force.

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Background: Kidney transplantation is the ultimate treatment for end-stage kidney disease. Function of the kidney graft is not only dependent on medical factors but also on a complication-free surgical procedure. In the event of major surgical complications, the kidney graft is potentially lost and the patient will return to the waiting list which may be long.

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The use of laser-assisted cart positioning significantly reduces the docking time of multimodular robotic systems.

J Robot Surg

January 2025

Department of Urology, Medical Faculty Carl Gustav Carus, TU Dresden, Fetscherstr. 74, 01307, Dresden, Germany.

The Hugo RAS system is characterized by its multimodular design, which leads to an increased docking effort. Exact data for docking time and the learning curve is missing. We describe for the first time the use of a laser-guided cart positioning to reduce the docking time.

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Background: Devices that help educate young doctors and enable safe, minimally invasive surgery are needed. Eureka is a surgical artificial intelligence (AI) system that can intraoperatively highlight loose connective tissues (LCTs) in the dissected layers and nerves in the surgical field displayed on a monitor. In this study, we examined whether AI navigation (AIN) with Eureka can assist trainees in recognizing nerves during colorectal surgery.

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Objective To establish an automatic reduction method for unilateral zygomatic fractures based on Iterative Closes Point(ICP)algorithm. Material and Methods 60 patients with unilateral type B zygomatic fractures were included. After acquiring CT images, zygomatic fragments were segmented using self-developed software MICSys.

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