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Pterygoid implant placement has been proven to be a viable option in full-arch implant rehabilitation for extremely atrophic maxillae. Nevertheless, the utilization of pterygoid implants remains a challenge for the dentist due to the difficulties of accessing the surgical site and poor visibility. To address these difficulties, digital techniques have been used to enhance the accuracy of pterygoid implant placement. This clinical case describes the application of an autonomous robot system to enhance the precision and efficacy of pterygoid implant placement. The results demonstrated that the integration of automation and real-time imaging provided by the robot system significantly improved the safety and accuracy of the surgical procedure.
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http://dx.doi.org/10.1111/jopr.13979 | DOI Listing |
Biol Cybern
September 2025
Department of Mechanical Science and Engineering, University of Illinois Urbana-Champaign, 61801, IL, USA.
In this article, a biophysically realistic model of a soft octopus arm with internal musculature is presented. The modeling is motivated by experimental observations of sensorimotor control where an arm localizes and reaches a target. Major contributions of this article are: (i) development of models to capture the mechanical properties of arm musculature, the electrical properties of the arm peripheral nervous system (PNS), and the coupling of PNS with muscular contractions; (ii) modeling the arm sensory system, including chemosensing and proprioception; and (iii) algorithms for sensorimotor control, which include a novel feedback neural motor control law for mimicking target-oriented arm reaching motions, and a novel consensus algorithm for solving sensing problems such as locating a food source from local chemical sensory information (exogenous) and arm deformation information (endogenous).
View Article and Find Full Text PDFJ Robot Surg
September 2025
Department of Research and Innovation, Medway NHS Foundation Trust, Gillingham, ME7 5NY, UK.
Robotic surgery has transformed the field of surgery, offering enhanced precision, minimal invasiveness, and improved patient outcomes. This narrative review explores the multifaceted aspects of robotic surgery, examining the challenges, recent advances, and future prospects for its integration into healthcare. Our comprehensive analysis of 48 studies reveals significant geographic disparities in robotic surgery research and implementation, with 68.
View Article and Find Full Text PDFNanomicro Lett
September 2025
Nanomaterials & System Lab, Major of Mechatronics Engineering, Faculty of Applied Energy System, Jeju National University, Jeju, 63243, Republic of Korea.
Wearable sensors integrated with deep learning techniques have the potential to revolutionize seamless human-machine interfaces for real-time health monitoring, clinical diagnosis, and robotic applications. Nevertheless, it remains a critical challenge to simultaneously achieve desirable mechanical and electrical performance along with biocompatibility, adhesion, self-healing, and environmental robustness with excellent sensing metrics. Herein, we report a multifunctional, anti-freezing, self-adhesive, and self-healable organogel pressure sensor composed of cobalt nanoparticle encapsulated nitrogen-doped carbon nanotubes (CoN CNT) embedded in a polyvinyl alcohol-gelatin (PVA/GLE) matrix.
View Article and Find Full Text PDFKnee Surg Sports Traumatol Arthrosc
September 2025
Department of Orthopaedic Surgery and Traumatology, Ghent University, Ghent, Belgium.
Purpose: Robot-assisted total knee arthroplasty (RATKA) aims to improve surgical precision and outcomes. This study compared clinical and radiological outcomes between RATKA and conventional total knee arthroplasty (CTKA).
Methods: A systematic review was conducted in accordance with PRISMA guidelines, including prospective studies (Level I/II evidence) from MEDLINE, Embase, Web of Science, and the Cochrane Library, up to 20 May 2025.
Knee Surg Sports Traumatol Arthrosc
September 2025
Orthopaedics Surgery and Sports Medicine Department, FIFA Medical Center of Excellence, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon North University Hospital, Lyon, France.
Purpose: Robotic-assisted lateral unicompartmental knee arthroplasty (UKA) remains technically demanding due to the complex biomechanics of the lateral compartment. Image-based (IBRA) and imageless (ILRA) robotic systems have both demonstrated superior accuracy compared to conventional mechanical instrumentation, but have not yet been directly compared in lateral UKA. This study aimed to evaluate their respective accuracy and surgical efficiency.
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