Computer-driven robots and medical imaging technology may soon enable surgeons to plan and execute intricate procedures with unprecedented precision. Our experience in introducing a robotic system for use in an active role in cementless total hip replacement surgery has convinced us that the marriage of these two technologies-robotics and medical imaging-is likely to change the way many types of surgical procedures are performed. The ability to link an image-based preoperative plan with its surgical execution by a robot may be the key to improved outcomes. Research and development of robotic systems for a wide variety of medical applications is underway at a number of prestigious institutions. Grenoble University has developed the IGOR (Imaged Guided Operating Robot) system. This six-axis robot has performed more than 400 interventions, acting as a positioner for brain surgery in both biopsy and therapeutic procedures. AlephMed and Digital are currently assisting the developers in integrating image analysis into the system. Future development plans include an application for spinal surgery.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Immunotherapy-based neoadjuvant treatment and complication rates after radical cystectomy.
BJU Int
January 2025
Urology Department, Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA.
Objective: To assess 30- and 90-day postoperative complication rates in patients who underwent robot-assisted radical cystectomy (RARC) after receiving novel immunotherapy-based neoadjuvant treatment.
Methods: A bi-centre analysis was conducted in patients who underwent RARC with intracorporeal urinary diversion and who received an immunotherapy-based neoadjuvant regimen between 2017 and 2023. Complications were classified using the Clavien-Dindo system.
A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching.
Front Robot AI
January 2025
Department of Materials and Production, Aalborg University, Aalborg, Denmark.
Object pose estimation is essential for computer vision applications such as quality inspection, robotic bin picking, and warehouse logistics. However, this task often requires expensive equipment such as 3D cameras or Lidar sensors, as well as significant computational resources. Many state-of-the-art methods for 6D pose estimation depend on deep neural networks, which are computationally demanding and require GPUs for real-time performance.
View Article and Find Full Text PDFReliable and robust robotic handling of microplates via computer vision and touch feedback.
Front Robot AI
January 2025
CREATE Lab, Institute of Mechanical Engineering, School of Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Laboratory automation requires reliable and precise handling of microplates, but existing robotic systems often struggle to achieve this, particularly when navigating around the dynamic and variable nature of laboratory environments. This work introduces a novel method integrating simultaneous localization and mapping (SLAM), computer vision, and tactile feedback for the precise and autonomous placement of microplates. Implemented on a bi-manual mobile robot, the method achieves fine-positioning accuracies of 1.
View Article and Find Full Text PDFCurrent developments in robotic assistance technology for total knee arthroplasty: a comprehensive overview.
J Orthop Surg Res
January 2025
Department of Orthopedic, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
Knee arthritis is a common degenerative joint disease, usually with joint swelling, chronic pain, and dysfunction as the main clinical manifestations. At present, the conservative treatment for knee arthritis is mostly using anti-inflammatory and analgesic drugs, but the effect is mostly temporary, and can not prevent its progress and surgery is usually the last treatment method. Total knee arthroplasty, also known as TKA, is one of the most effective treatments for osteoarthritis of the knee that has progressed to the end stage.
View Article and Find Full Text PDFA lightweight prosthetic hand with 19-DOF dexterity and human-level functions.
Nat Commun
January 2025
Institute of Humanoid Robots, School of Engineering Science, University of Science and Technology of China, Hefei, 230026, China.
A human hand has 23-degree-of-freedom (DOF) dexterity for managing activities of daily living (ADLs). Current prosthetic hands, primarily driven by motors or pneumatic actuators, fall short in replicating human-level functions, primarily due to limited DOF. Here, we develop a lightweight prosthetic hand that possesses biomimetic 19-DOF dexterity by integrating 38 shape-memory alloy (SMA) actuators to precisely control five fingers and the wrist.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!